Machine Learning Jobs in New York.
All active Machine Learning roles based in New York.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.
About the Role
We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.
This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.
For New York Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You’ll Be Doing
- Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
- Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
- Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
- Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
- Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
- Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
- Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
- Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
- Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
- Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
- Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths
We’re Excited If You Have
- 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
- Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
- Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
- Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
- Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
- Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
- Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
- Experience in streaming, media, entertainment, or large-scale content platforms
- Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
- Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
- Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
- BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Buyer, Programmatic
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WHO WE ARE
Crossmedia is the global media independent. We’re committed to doing media and business the right way, guided by the principles of TRUST, REASON and the Pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul.
We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues’ professional & personal wellbeing and growth. It’s why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age’s Best Places to Work for the past seven years in a row.
We have offices in the US in New York and Philadelphia, with employees across 25+ states, as well as in London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Edible Arrangements and more.
YOUR ROLE
We are searching of our next Programmatic Buyer to join our One Marketplace team. Here is a snapshot of your day-to-day:
- Partners with One Marketplace team to strategize programmatic tactics, technology and make budget recommendations.
- Analyzes and interprets campaign performance and provide creative optimizations.
- Client communication, offering recommendations and tactics.
- Manages and follows QA processes.
- Research emerging opportunities in the ecosystem that will drive client value and performance.
- Enthusiastically teaches and coaches others on systems, tools, processes, etc.
- Troubleshoots technology and potential issues.
REQUIREMENTS
- 2+ years of experience in the day-to-day programmatic campaign management, working across multiple DSPs (The Trade Desk, DV360, etc).
- You’re a teacher at heart and have already successfully managed others
- You’re not shy and enjoy building relationships with clients and know to manage up.
- A strong passion for the craft, including campaign optimization and understanding the levers that drive performance.
- Previous media or advertising agency experience (preferred)
This role is New York based - we offer a hybrid work setting, with the flexibility to work in office and from home. Salary range of 65-75k. Compensation is determined on the skills, qualifications, tenure in the industry and experience of the applicant along with the requirements of the position
CROSSMEDIA BENEFITS
Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including:
- Flexibility to work in hybrid manner with in-office and work from home options (depending on role).
- Open/Flexible PTO with US & UK specific policies
- Sponsored healthcare options and agency-wide physical & mental health support
- 401k with company match (USA), and generous Pension (UK)
- Paid sabbatical at significant milestone anniversaries
- Generous paid parental leave policy
- Life milestone recognition & support
- The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development)
- Cell phone/tech reimbursement
- Student Loan payment plan (US)
- Tuition reimbursement
- Learning & Development and training programs
- And burgers – lots and lots of burgers
COMMITMENT TO DIVERSITY AND INCLUSION
Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation.
Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law.
All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ).
Continued employment remains on an “at-will” basis.” Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based)
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:
- Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time.
- Ability to stand, bend, and reach
- Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range (within a few feet of the observer).
In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Crossmedia, please email people.team@xmedia.com. (US based candidates).
Ready to apply?
Apply to Crossmedia Inc
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
As part of Enterprise Engineering, the Workday Recruiting/Talent Acquisition Engineer sets the bar for technical excellence and innovation across our Talent Acquisition platform—driving configuration strategy, automation, integration optimization, and continuous validation at scale. You'll bring deep Workday Recruiting and ATS functional knowledge, combined with strong engineering capabilities, applying technical rigor to the configuration, data management, and testing of an enterprise-grade recruiting system in a fast-paced, high-volume hiring environment.
Scope includes Workday Recruiting, Advanced Recruiting, Candidate Experience (Career Site), ATS Tech Stack (HiredScore, Paradox, iCIMS integration), Talent Acquisition processes, Onboarding, and recruiting analytics/reporting. You'll build robust, scalable automated solutions and manage the quality lifecycle in our Workday Recruiting ecosystem, ensuring compliance, data integrity, candidate experience excellence, and recruitment efficiency requirements for a rapidly growing company.
For New York Only - The estimated annual salary for this position is between $132,600 - $191,250 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Design and own the end-to-end Workday Recruiting configuration and integration strategy for Recruiting, Advanced Recruiting, Career Site, ATS integrations (HiredScore, Paradox), Onboarding, and Talent Acquisition workflows—balancing technical excellence with speed to delivery and optimal candidate experience.
- Build, maintain, and scale Workday Recruiting configurations, including job requisition templates, candidate pipelines, offer management, background check integrations, recruiting events, interview scheduling, and agency portal functionality; ensure seamless data flow across systems.
- Design and implement comprehensive automated test coverage for recruiting processes using Tricentis Tosca or similar tools; manage test execution and traceability in qTest; integrate results into CI/CD pipelines for continuous quality validation.
- Create reusable configuration frameworks and templates (job req templates, screening questions, candidate evaluation forms, offer letter templates, recruiting business process steps) that standardize processes, reduce configuration time, and improve system reliability.
- Drive API-level and end-to-end integration testing across the Talent Acquisition ecosystem (e.g., requisition creation to hire, candidate sourcing, screening workflows, offer approval, background checks, I-9 verification, onboarding handoff to HCM), including third-party vendor integrations and Workday web services.
- Validate Workday Recruiting Extend apps, custom objects, and advanced configurations to ensure functional correctness, security, accessibility, compliance (OFCCP, EEOC), and performance under high-volume recruiting loads.
- Establish recruiting-specific quality metrics, dashboards, and reporting (including time-to-fill, candidate conversion rates, system uptime, integration success rates, configuration coverage, defect density) that enable data-driven decision-making and continuous improvement.
- Champion candidate experience excellence: partner with Recruiting, Employer Branding, and TA Operations teams to optimize career site performance, mobile responsiveness, application completion rates, and candidate communication workflows.
- Lead technical design reviews and configuration governance for recruiting process changes, partner with Workday Recruiting Consultants, Integration Engineers, and HRIS teams on design patterns and apply configuration best practices to recruiting assets.
- Drive root cause analysis and systemic improvements across recruiting data quality, process bottlenecks, integration failures, and user experience issues; continuously optimize configuration efficiency and recruiting operations effectiveness.
- Collaborate closely with Talent Acquisition, Recruiting Operations, HR Technology, Compliance, DEI, People Analytics, and vendor partners (HiredScore, Paradox, background check providers) to align technical solutions with business priorities, hiring goals, and regulatory requirements.
- Manage Workday Recruiting roadmap alignment with bi-annual releases and feature updates; evaluate new Recruiting functionality, lead pilot programs, and drive adoption of innovations that enhance recruiter productivity and candidate experience.
We're excited if you have
- 6+ years with SaaS/Cloud HR technology and significant hands-on Workday Recruiting experience across requisition management, candidate management, offer management, career site configuration, recruiting analytics, and ATS integrations.
- Deep functional expertise in Talent Acquisition processes, including high-volume recruiting, executive search, agency management, candidate sourcing, interview management, offer workflows, background checks, and onboarding transitions.
- Strong technical skills in Workday Recruiting configuration, Calculated Fields, Workday Studio, or EIB for data management, integration troubleshooting (Web Services, RaaS reports), and understanding of API-based recruiting technology ecosystems.
- Experience with recruiting automation tools such as HiredScore, Paradox (conversational AI), scheduling tools, CRM platforms, and modern ATS integrations.
- Test automation and quality engineering experience with tools like Tricentis Tosca, Selenium, or similar; ability to design and maintain automated regression suites for recruiting workflows.
- Data-driven mindset with experience building recruiting analytics, dashboards (Workday Reports, Prism), and using data to optimize funnel conversion, process efficiency, and candidate experience.
- Understanding of recruiting compliance requirements, including OFCCP, EEOC, GDPR, accessibility standards (WCAG), and ability to configure systems to meet regulatory obligations.
- Strong stakeholder management and communication skills; ability to translate complex technical concepts for recruiting leaders and translate business requirements into technical solutions.
- Experience managing or contributing to enterprise-scale Workday implementations or transformations; familiarity with Agile/Scrum methodologies and DevOps practices.
- Passion for candidate experience and recruiting innovation; stays current on recruiting technology trends, AI/ML applications in talent acquisition, and Workday Recruiting product roadmap.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Staff Technical Program Manager
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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.
We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.
Position Expectations
- Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
- Recognize patterns in a sea of information and take action accordingly
- Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
- Build strategic partnerships with Product, Design, and Engineering stakeholders
- Expand knowledge into new domains as called upon
- Act as a mentor to junior TPMs and lead by example
- Embody MongoDB's core values and leadership principles
The right candidate for this role will be
- Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
- Experienced with 5+ years of Software development background
- Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
- Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
- Skilled at communicating across a diverse set of engineers and stakeholders
- Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
- Hyper-organized and capable of coordinating across multiple independent work streams and organizations
- A role model for effective execution practices, driven by an attuned sense of priority and urgency
- Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
- Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
- Familiar with MongoDB or a comparable technology
Nice to have!
- Exposed to generative AI and Machine Learning
- Interested in business automation work such as scripting in Python, Google Apps Script and Slack
- Familiar with tools and methodologies for code analysis, refactoring, and automated testing
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 2263203305
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
Are you a seasoned Lead Technical Recruiter with a precision attitude and a deep understanding of the quantitative landscape? Look no further! Ripple is seeking a Lead Technical Recruiter to join our dynamic team and help us secure the elite talent necessary to drive our high-frequency growth and algorithmic innovation. As the Lead Technical Recruiter, you will be a crucial architect of our talent pipeline, owning the end-to-end process for specialized Quantitative Engineers and Researchers. You will partner closely with hiring managers to identify and attract the world's brightest mathematical and technical minds.
In this role, you will have the opportunity to work with a versatile team and play a key role in crafting the future of Ripple. You will work closely with our Talent Acquisition team to develop and implement a sophisticated recruiting strategy that aligns with our strategic objectives, while providing an exceptional candidate experience for high-stakes talent. Join us and be part of a company that is revolutionizing the way we think about global payments through innovative engineering!
WHAT YOU’LL DO:
- Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.
- Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.
- Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).
- Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.
- Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.
- Own and drive the intake meeting, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar.
- Deliver weekly performance analytics and progress reports to hiring managers and senior leadership.
WHAT YOU'LL BRING:
- 7+ years of proven experience in recruiting, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
- A blend of agency (specialized search) and in-house startup experience is preferred to navigate both high-volume and high-touch environments.
- Strong sourcing skills with a proven track record of converting passive, highly-compensated talent into hires.
- Experience using niche channels to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events.
- Self-starter mentality who thrives in a fast-paced, collaborative environment with exceptional organizational precision.
- In-depth knowledge of the quantitative tech stack, including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing.
- Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds.
- Expertise in the tools of the trade: Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (e.g., Entelo, SeekOut), and technical repositories like GitHub.
- Strong written and verbal communication skills, with the ability to "speak the language" of PhDs and elite engineers.
WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ready to apply?
Apply to Ripple
Lead Technical Recruiter (Quant Engineering)
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At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
Are you a seasoned Lead Technical Recruiter with a precision attitude and a deep understanding of the quantitative landscape? Look no further! Ripple is seeking a Lead Technical Recruiter to join our dynamic team and help us secure the elite talent necessary to drive our high-frequency growth and algorithmic innovation. As the Lead Technical Recruiter, you will be a crucial architect of our talent pipeline, owning the end-to-end process for specialized Quantitative Engineers and Researchers. You will partner closely with hiring managers to identify and attract the world's brightest mathematical and technical minds.
In this role, you will have the opportunity to work with a versatile team and play a key role in crafting the future of Ripple. You will work closely with our Talent Acquisition team to develop and implement a sophisticated recruiting strategy that aligns with our strategic objectives, while providing an exceptional candidate experience for high-stakes talent. Join us and be part of a company that is revolutionizing the way we think about global payments through innovative engineering!
WHAT YOU’LL DO:
- Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.
- Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.
- Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).
- Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.
- Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.
- Own and drive the intake meeting, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar.
- Deliver weekly performance analytics and progress reports to hiring managers and senior leadership.
WHAT YOU'LL BRING:
- 7+ years of proven experience in recruiting, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
- A blend of agency (specialized search) and in-house startup experience is preferred to navigate both high-volume and high-touch environments.
- Strong sourcing skills with a proven track record of converting passive, highly-compensated talent into hires.
- Experience using niche channels to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events.
- Self-starter mentality who thrives in a fast-paced, collaborative environment with exceptional organizational precision.
- In-depth knowledge of the quantitative tech stack, including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing.
- Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds.
- Expertise in the tools of the trade: Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (e.g., Entelo, SeekOut), and technical repositories like GitHub.
- Strong written and verbal communication skills, with the ability to "speak the language" of PhDs and elite engineers.
WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ready to apply?
Apply to Ripple
Head of Marketing
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About the role
At Thatch, weʼre on a mission to build a healthcare system people love. Thatch has found early product-market fit and is scaling rapidly. With strong traction through brokers and payroll partners, the company is now ready to build a modern, unified marketing engine to expand its reach, elevate its brand, and accelerate direct demand.
As our Head of Marketing, youʼll be the steward of our marketing vision and execution. Youʼll lead a growing team of exceptional demand generation experts, brand, content, and product marketing managers. Youʼll partner closely with product and engineering, design, and GTM, and will work directly with the CEO to market a platform that serves employers, employees, brokers, and partners.
We believe great products start with care: care for the user, care for the craft, and care for the systems we're building. You'll bring taste, product intuition, and high standards to everything you touch - while helping the entire team do the same. This role is highly cross-functional and strategic, and weʼre looking for someone who thrives in ambiguity, translates complexity into clarity, and pushes the work - and everyone around them - to be better.
What you'll do
- Define and drive Thatchʼs marketing vision, strategy, and roadmap in close partnership with the CEO and leadership team.
- Define and sharpen Thatchʼs product marketing foundation - clear customer segmentation, messaging, pricing, and packaging - to equip sales and deepen understanding of why different segments buy.
- Build scalable, cost-efficient direct demand generation to complement broker and payroll channel distribution, improving the LTV-to-CAC ratio for small and mid-sized employers.
- Elevate and broaden the Thatch brand so it resonates across industries and geographies, creating mass-market appeal and trust beyond its current tech-forward audience.
- Lead and grow a high-performing, mission-driven marketing team, fostering a culture of ownership, intellectual curiosity, and thoughtful execution.
- Champion a high bar for quality and taste in everything we ship — balancing speed with care and polish.
- Work closely with design, engineering, ops, growth, and sales to deliver marketing messages that feel considered, cohesive, and empowering.
- Guide discovery and execution across multiple surfaces, from employer and broker dashboards to member experiences and partner APIs.
Background we're looking for
- 10+ years in marketing, with at least 3+ years leading all of marketing or a function within it, at a high-growth company.
- Proven experience at a high-growth startup defining vision, leading cross-functional teams, and launching marketing campaigns.
- A systems thinker whoʼs comfortable operating in a company with many different types of purchasers.
- Exceptional communication skills; you can clearly articulate your thinking, inspire teams, and align stakeholders.
Experience we’d be particularly excited about
- Deep, unrelenting care for customers, and the ability to translate customer desires into marketing strategy
and work that feels purpose-built for our customers.Experience in regulated industries like healthcare, where clarity, trust, and precision matter. - A background marketing to small-to-midsize businesses across industries.
- 3+ years in a user-facing function (e.g. sales, support, ops) where youʼve seen the frontlines.
- A track record of hiring, mentoring, and scaling product teams through multiple stages of growth.
- Strong design sensibilities and belief that small details create trust.
What to expect
We interview rigorously based on integrity, talent, and drive; the trust we display in our teammates from day 1 is a reflection of the confidence we have in this process. We aim to evaluate the things you’ll be doing every day as best we can, and we move quickly. Here's what to expect:
- 30 minute video meeting to talk through your background and interest in Thatch
- 30 minute video meeting with the hiring manager to dive deeper into your experience and the role
- 30 minute video meeting to meet six members of the team
- 30 minute final round video or In Person meeting with one of our founders
About Thatch
We’re a fully distributed early stage company using technology to change the way America does healthcare. We’re a happy, friendly, high-velocity team. You can read more on Thatch here.
Ready to apply?
Apply to Thatch
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.
Our Vision
- We pursue large scientific challenges that cannot be pursued in conventional environments
- We enable individual investigators to pursue their riskiest and most innovative ideas
- The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond
Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Opportunity
The Biohub is seeking an accomplished Scientist I to lead innovative investigations into spatial architecture of molecular systems and its role in controlling cell state dynamics. In our newly established Synthetic Spatial Omics Laboratory, we advance next-generation spatial multi-omics platforms for understanding how cells process combinatorial signals, designing synthetic biology toolkits, and capturing cellular temporal histories with spatial resolution.
The successful candidate will lead independent research projects integrating spatial multi-omics, synthetic biology, and systems-level analysis to investigate molecular neighborhood reorganization in response to perturbations, engineer programmable cellular functions, and identify the molecular drivers of cell state transitions. This position offers the opportunity to drive both technology development and fundamental discovery in a highly collaborative, interdisciplinary research environment.
What You'll Do
- Lead the development and application of imaging-based multi-omics technologies (e.g., seqFISH and related approaches) to map subcellular molecular organization and cell state transitions.
- Design and perform perturbation experiments to decode how molecular neighborhoods respond to combinatorial signals.
- Engineer synthetic biology systems and profile their behavior using spatial multi-omics to understand and program cellular functions.
- Lead analysis of high-dimensional imaging and sequencing datasets using computational and machine learning approaches to identify organizational and regulatory principles.
- Collaborate closely with researchers across genomics, synthetic biology, machine learning, and related disciplines.
- Contribute to and lead preprints, publications, presentations, and open science practices.
What You'll Bring
Essential -
- PhD in Systems Biology, Molecular Biology, Immunology, Bioengineering or a closely related discipline.
- 3-4+ years of postdoctoral or equivalent research experience, with a strong record of scientific productivity.
- Demonstrated expertise in imaging-based omics and/or sequencing-based single-cell technologies.
- Expertise in molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
- Strong computational skills in Python, R, or comparable languages, with experience analyzing large-scale imaging and sequencing datasets.
- Proven ability to independently conceptualize research directions, design rigorous experiments, troubleshoot complex workflows, and lead projects from conception to publication.
- Collaborative mindset and strong scientific communication skills.
Nice to have -
- Established track record in developing novel experimental or computational technologies.
- Prior work with imaging-based transcriptomics or genomics technologies.
- Prior work with immune cell types or immune cell engineering.
- Expertise in synthetic biology, CRISPR technologies, or engineered cell systems.
- Experience with temporal genomics, molecular recording, or lineage-tracing approaches.
- Background in regulatory network analysis, signaling dynamics, or models of cellular computation.
Compensation
The New York City, NY base pay range for a new hire in this role is $120,000.00 - $150,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
#LI-Hybrid #LI-Onsite
Ready to apply?
Apply to Biohub
Applied AI Architect, Security
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at the world's largest financial institutions, insurance companies, and other highly regulated enterprises to address their most critical questions about deploying Claude safely and securely.
This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organizational requirements.
You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in financial services, and can speak credibly to their security and compliance concerns.
We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you.
Responsibilities:
- Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.
- Partner with CISOs, security architects, and compliance teams at financial services and insurance companies to understand their security requirements and design solutions that meet regulatory standards (SOC 2, SOX, PCI-DSS, GDPR, state insurance regulations, etc.).
- Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments.
- Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance.
- Collaborate with Sales and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment.
- Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities.
- Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries.
- Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.
You may be a good fit if you have:
- 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (financial services, insurance, healthcare).
- Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements.
- Experience navigating compliance frameworks relevant to financial services and insurance (SOC 2, SOX, PCI-DSS, GDPR, CCPA, state insurance regulations, banking regulators' guidance on AI/ML).
- A track record of engaging with CISOs, security teams, and compliance officers at large enterprises.
- Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity.
- Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences.
- The ability to navigate ambiguity and move fast in a rapidly evolving market.
- A collaborative mindset: sales at Anthropic is a team sport.
- Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.
Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.
Please note: this role is remote - with 50% of travel required.
What You'll Do
- Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
- Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
- Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data, and provide the tooling/content for self-service business justifications.
- Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
- Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
- Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
- Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
- Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.
What You Bring
- Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
- Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
- Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
- Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
- Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.
Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
Ready to apply?
Apply to Verkada
Technical Program Manager, Discovery
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.
About the Role
As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.
Responsibilities
- Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
- Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
- Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
- Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
- Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
- Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.
You May Be a Good Fit If You:
- Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
- Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
- Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
- Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
- Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
- Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
- Are excited about the potential for AI to accelerate scientific discovery
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Robinhood Social team is building Robinhood's social trading platform — a feed-based experience where traders share insights, follow one another, and discover market-moving information in real time. The product is currently in beta, making this a rare ground up opportunity to shape the future of social experiences at Robinhood from the ground up. You'll work closely with product, design, data, machine learning, and safety teams to build reliable, scalable systems that support high-volume content, user interactions, and personalized discovery.
As an Engineering Manager for the Social team, you will lead a group of engineers building core social trading features. You will set technical direction, drive execution against product goals, and ensure systems meet reliability and performance standards. You will partner cross-functionally to define priorities, translate product needs into technical plans, and deliver end product. You will also grow engineers through feedback, goal-setting, and career planning.
This role is based in our New York, NY office, with in-person attendance expected 5 days per week.
What you'll do
- Lead a team building and scaling social interactions, content feeds, and user discovery features
- Set and communicate clear technical direction aligned with product strategy, holding a high bar for quality, performance, and maintainability
- Partner cross-functionally with design, product, data, machine learning, and safety teams to shape the social experience
- Drive architectural decisions and foster a culture of high-quality code and strong engineering processes
- Foster a collaborative, inclusive team environment where engineers across levels can grow, take ownership, and do their best work
- Support engineers through hiring, onboarding, performance feedback, and career development
What you bring
- 7+ years of professional software engineering experience
- 2+ years of engineering management experience leading product-focused engineering teams
- Strong foundation in building consumer-facing products at scale, with experience working through the stack
- Deep understanding of web architecture and best practices for building modular, scalable systems within large, evolving codebases
- Experience building and operating distributed systems that handle high traffic or real-time data
- Proven ability to grow engineers across levels through mentorship, feedback, and clear expectations
- An execution-focused mindset, capable of navigating ambiguity and delivering results
- Clear communication with both technical and non-technical partners
Leadership expectations
Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:
- Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
- Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
- Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.
What we offer
- Challenging, high-impact work to grow your career
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Ready to apply?
Apply to Robinhood
Network Engineer, Capacity and Efficiency
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the team
The Capacity & Efficiency team sits inside Anthropic’s Compute organization and owns the cost, utilization, and attribution story for non-accelerator infrastructure — the network, compute, and storage backbone that moves petabytes between training clusters, inference fleets, and object storage across clouds and regions. The scale is real, the spend is large, and the efficiency levers are still mostly unpulled.
We work alongside the Systems Networking team (who build and operate the fabric) and the Observability team (who own the telemetry platform). This role lives at the intersection: you’ll use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.
About the role
We’re looking for a network engineer who thinks in metrics first. You understand spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You will instrument them, model their cost-per-bit, and squeeze out the inefficiency, while ensuring we can move the bits to the right places in the most efficient manner. You’ll own the observability and efficiency surface for Anthropic’s network: from per-flow telemetry on backbone routers, to cost attribution that tells a research team exactly what their checkpoint sync is costing.
This is a hands-on IC role. You’ll write code (Python, Go), build dashboards and model capacity. You’ll also influence architecture: when the data says a traffic pattern is pathological, you’ll be in the room root causing it and fixing it.
You will be working across three areas: network telemetry, observability and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third. If you're a telemetry-first engineer who's never built a chargeback model, or a traffic engineer who hasn't shipped eBPF probes, apply anyway and tell us which axis you want to grow on.
What you’ll do
-
Build the network observability stack. Design and deploy telemetry pipelines — sFlow/IPFIX, gNMI streaming, eBPF host probes — that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
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Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
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Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
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Drive cost attribution. Tie network spend — egress, interconnect ports, transit, optical leases — back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
- Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting. You'll partner closely with Systems Networking on fabric architecture and Observability on telemetry platform integration, but the cost and efficiency wins will come from moving teams that don't report to you.
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Automate. Extend our intent-based network configuration systems and write the tooling that turns your efficiency findings into safe, reviewable, and impactful changes.
You may be a good fit if you
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Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
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Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
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Know at least one major CSP’s networking model deeply — AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) — and understand how their overlays interact with physical underlays.
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Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
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Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
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Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
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Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.
Strong candidates may also have
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SRE experience for large-scale network infrastructure — designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
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Background on a cloud provider's networking team or a cloud networking product team — building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
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Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
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Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
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Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
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Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
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Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.
Representative projects
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Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
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Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
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Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
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Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability
Why this role, why now
Anthropic’s network footprint is growing faster than our ability to reason about it. We’re turning up tens of terabits of private backbone capacity, peering across clouds, and moving model weights that keep getting larger. The efficiency opportunities are enormous and largely untouched — this is a chance to build the measurement and optimization layer from the ground up, with real budget impact and direct influence on how Anthropic’s infrastructure scales.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Senior Principal AI Engineer, Agentic Systems
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Why Charlie Health?
Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.
About the role
The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.
Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.
We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.
Responsibilities
- Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
- Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
- Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
- Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
- Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
- Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
- Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
- Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.
What you'll work with
- An executive team that has committed to an AI-native operating model and is funding it.
- An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
- A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
- Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
- A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.
Why this role is hard
Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.
We are looking for an engineer who finds those constraints clarifying rather than limiting.
Requirements
- 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
- Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
- Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
- Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
- Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
- BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office
Benefits
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
Additional Information
The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
Our Values
- Connection: Care deeply & inspire hope.
- Congruence: Stay curious & heed the evidence.
- Commitment: Act with urgency & don’t give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
Ready to apply?
Apply to Charlie Health
Senior Principal AI Engineer, Agentic Systems
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Why Charlie Health?
Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.
About the role
The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.
Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.
We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.
Responsibilities
- Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
- Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
- Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
- Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
- Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
- Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
- Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
- Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.
What you'll work with
- An executive team that has committed to an AI-native operating model and is funding it.
- An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
- A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
- Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
- A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.
Why this role is hard
Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.
We are looking for an engineer who finds those constraints clarifying rather than limiting.
Requirements
- 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
- Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
- Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
- Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
- Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
- BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
- Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office
Benefits
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
Additional Information
The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
Our Values
- Connection: Care deeply & inspire hope.
- Congruence: Stay curious & heed the evidence.
- Commitment: Act with urgency & don’t give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
Ready to apply?
Apply to Charlie Health Engineering, Product & Design
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business.
What you’ll do
As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact.
Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products.
Responsibilities
- Develop the long-term vision and strategy for our Payments Intelligence products, prioritize accordingly, and create an execution roadmap
- Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data
- Build and launch new capabilities and products that bring significant value to customers
- Set the pace, prioritization and execution for the team
- Work with a wide range of systems, processes and technologies to own and solve technical and product problems
- Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations
- Build and coach your team on best practices in defining product requirements and how to deliver against those requirements and the overall roadmap
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements:
- Product Management experience: 10+ years of relevant experience
- 4+ years of experience managing Product Managers
- Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so
- Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations
- Operational savvy: You are strong operationally, capable of designing and driving a cross-functional team and process
- Analytical horsepower: You dig deep into the data, think from user first principles, and deliver the right results
- Crisp communicator: High attention to detail including precise and effective communications, including with external customers/partners
- Results-oriented: You enjoy doing whatever it takes to execute on complex projects
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.
At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.
Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.
What you’ll do
As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.
Responsibilities
- Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
- Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
- Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
- Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
- Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
- Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products).
- Proven track record of delivering pragmatic solutions that accelerate business growth
- Ability to adjust conversations from high-level discussions to detailed coding
- Thrives on a high level of autonomy and responsibility
- Clear and persuasive writing and in-person communication
- Strong problem-solving skills, critical thinking, determination, and a growth mindset
- Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
- Has experience in a range of software languages and frameworks. Examples of what we work with include:
- Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
- Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal,
- Others: Mongo, Splunk, Prometheus
Preferred qualifications
- Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
- Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
- Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
- Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
- Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
- Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Why Stripe Identity
- The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
- The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
- You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
- The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.
Ready to apply?
Apply to Stripe
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a large amount of work ahead of us. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe’s financial capabilities. As part of Treasury Finance’s AI and Quantitative Analytics team, you’ll work at the intersection of finance, artificial intelligence, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy.
What you’ll do
Within Treasury Finance AI and Quantitative Analytics, you’ll leverage your finance, artificial intelligence (AI) and technical expertise to build intelligent solutions that enhance Stripe’s treasury capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet.
You will:
- Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can solve complex liquidity, financial risk management, and capital markets challenges
- Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
- Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes
- Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time insights and actionable intelligence
- Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows
- Explore and prototype cutting-edge AI applications to address emerging treasury challenges
Who you are
We’re looking for a technical problem-solver with treasury and finance expertise who’s excited about leveraging artificial intelligence and who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Bachelor’s degree in finance, mathematics, computer science, engineering or a related field with 5+ years of work experience in software development, data science, or treasury/finance roles
- Working familiarity with financial risk and capital markets concepts
- Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
- Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
- Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
- Results-oriented, with a focus on delivering impact in a fast-paced environment
- Excellent communication skills for collaborating with product, engineering, and finance teams
- Highly organized, with attention to detail and the ability to manage tight deadlines
Nice to have
-
- Familiarity with the payments industry and fintech landscape
- Experience with Databricks and cloud platforms (AWS, GCP, Azure)
- Software engineering experience in Ruby
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Data Science Manager
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the teams
MaaS (“Money as a Service”) Data Science
The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces). We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite.
Growth Data Science
The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.
What you’ll do
Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
- Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
- Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
- Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
- Contribute to broad data science initiatives as a member of Stripe’s data science management team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
- You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
- You have demonstrated expertise in designing metrics and guiding business decisions with data.
- You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
- You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You have clear and persuasive communication skills in writing and verbally.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred requirements
- You are comfortable working with geographically distributed teams
- Expertise in time series forecasting, predictive modeling, or optimization
- Expertise in data design and building scalable data architectures
Ready to apply?
Apply to Stripe
Data Science Manager, Growth
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Growth Data Science
The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.
What you’ll do
Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
- Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
- Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
- Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
- Contribute to broad data science initiatives as a member of Stripe’s data science management team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
- You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
- You have demonstrated expertise in designing metrics and guiding business decisions with data.
- You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
- You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You have clear and persuasive communication skills in writing and verbally.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred requirements
- You are comfortable working with geographically distributed teams
- Expertise in time series forecasting, predictive modeling, or optimization
- Expertise in data design and building scalable data architectures
Ready to apply?
Apply to Stripe
Head of Connect & Crypto, Finance & Strategy
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Finance & Strategy team is a key thought partner to Stripe’s product leaders. We bring financial rigor, strategic clarity, and analytical depth to the decisions that shape Stripe’s product portfolio and long-term growth strategy.
The Connect & Crypto F&S team sits at the intersection of two dynamic and high growth product areas. Connect is a scaled and complex product that powers Stripe Platform and Marketplace ecosystems. Crypto is a newer product area with rapidly evolving market dynamics focused on stablecoin markets. Together, these products require a finance leader who can operate across different stages of maturity, bring structure to complexity, and drive financial outcomes in an ambiguous environment.
What you’ll do
We're seeking a seasoned finance leader to lead our Connect and Crypto F&S team. You’ll partner with the heads of product for Connect and Crypto, acting as a trusted financial and strategic advisor. You’ll lead a team that delivers the revenue forecasting, pricing and unit economic analysis, investment frameworks and strategic insights that enable these products to scale. You’ll translate complex financial analysis into clear insights for senior leadership. You’ll build the analytical infrastructure, including leveraging AI and tooling, to ensure this team best-in-class financial insights and analysis.
Responsibilities
- Own revenue forecasting and performance management across Connect and Crypto, including volume trends and unit economics. Develop and maintain integrated financial models that reflect underlying product drivers.
- Establish and maintain key business metrics and KPIs to measure performance of new and existing products. Present performance in business forums, highlighting drivers, risks and actionable insights.
- Drive strategy and decision-making by bringing rigorous financial analysis and product and industry expertise to help product leaders evaluate tradeoffs and shape strategic roadmaps.
- Lead the quarterly forecast and annual strategic financial planning process. Develop long range financial models with scenario analysis and actionable recommendations on growth, monetization and where to prioritize investments.
- Serve as a key contributor to key business reviews and leadership forums, translating complex product economics into clear insights for executive audiences.
- Build, lead and develop a high performing team of finance & strategy partners. Align and scale the team to support product growth.
- Drive process improvement and analytics scalability, partnering cross-functionally to evolve data infrastructure, reporting and analytics. Identify opportunities to leverage AI and automation to enable the team to operate at the leading edge of financial analysis.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 12+ years of relevant experience in product finance, strategic finance or FP&A, preferably at a high growth payments, fintech, marketplace/platform, or enterprise SaaS business
- Deep experience in revenue-oriented financial modeling (e.g. pricing analysis, unit economics, volume/take-rate forecasting, deal economics) with the ability to architect complex, integrated models
- A proven track record of partnering with senior product or business leaders, translating complex financial data into clear and compelling narratives, and influencing strategic decisions through financial analysis and insights
- Demonstrated success building and leading high-performing finance teams, including hiring, developing, and retaining top talent
- Comfort operating in ambiguous, fast-moving environments and an ability to create structure and clarity
- Working knowledge of SQL and comfort working with large, complex datasets
- Excellent written and verbal communication skills with experience preparing materials for and presenting to senior leaders
Preferred qualifications
- Experience in or exposure to crypto, stablecoins, digital assets, or blockchain-based financial products
- Experience with marketplace or platform business models and multi-sided network economics
- Experience working closely with different Finance functions (e.g. Accounting, Tax, Treasury, IR)
- Familiarity with leveraging AI/ML tools to enhance and automate financial analysis. Experience working with Python, Anaplan, Tableau, or equivalent tools is a plus
- Experience in a high-growth, rapidly scaling environment
Ready to apply?
Apply to Stripe
Machine Learning Engineer, Payments ML Accelerator
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About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact. Our work combines advanced ML techniques with large-scale data infrastructure to enable rapid experimentation and seamless deployment of AI-powered solutions. As a central ML innovation hub, we work closely with product teams to identify high-impact opportunities and implement scalable solutions that can be leveraged across the organization.
What you'll do:
As a machine learning engineer on our team, you’ll develop advanced ML solutions that directly impact Stripe’s payment products and core business metrics. Your role will span the entire ML lifecycle, from research and experimentation to production deployment.
You’ll work on high-leverage problems that require innovation in modeling, optimization, and system design. Where possible, you’ll look beyond point solutions - designing approaches and architectures that are reusable, extensible, and serve as foundation models for future capabilities.
The role demands strong technical judgment, deep knowledge of modern ML methods, and the ability to translate ideas into systems that deliver measurable impact. You’ll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success.
Responsibilities:
- Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers
- Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives
- Architect generalizable ML workflows to enable rapid scaling and optimized online performance
- Deploy ML models online and ensure operational stability
- Experiment with advanced ML solutions in the industry and ideate on product applications
- Explore cutting-edge ML techniques and evaluate their potential to solve business problems
- Work closely with ML infrastructure teams to shape new platform capabilities
Who you are:
We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.
Minimum requirements
- Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
- Proficient in Python, Scala, and Spark
- Proficient in deep learning and LLM/foundation models
Preferred qualifications
- MS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics)
- Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
- Experience evaluating niche and upcoming ML solutions
Ready to apply?
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Machine Learning Engineer, Stripe Assistant
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.
What you’ll do
As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful. You’ll set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data—so users can resolve issues quickly and confidently.
You’ll drive conversation continuity and personalization across surfaces, evolve the Assistant into a proactive partner that anticipates user needs, and deepen its presence in the dashboard to streamline critical workflows. You’ll establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability—paving the way for configurable levels of autonomy and, ultimately, a dependable operating layer over a merchant’s Stripe account.
Responsibilities
Our team operates fluidly and here are some problems you may tackle:
- Establish trustworthy, human-in-the-loop execution for high-trust “write” actions—prioritizing user control, transparency, accountability, and auditability so customers can delegate with confidence.
- Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents, balancing power, permissions, and consistency at scale.
- Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data, building cross-surface memory and personalization, and making the Assistant proactive and present in the dashboard.
- Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance, including but not limited to fine-tuning LLMs with RLHF, synthetic data generation, optimizing RAG pipelines via domain‑specific embedding and retriever fine‑tuning, and automatic prompt tuning, etc.
- Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops, and drive sustained improvements in latency, cost, and availability.
- Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor, and align cross‑functionally to ship safely and fast.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 5+ years in AI/ML and backend engineering.
- Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
- Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
- Experience working closely with product management, design, other engineers, and other cross-functional partners.
Preferred qualifications
- Experience operating ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
- Experience building products where AI/ML is core; as well as balancing short-term product priorities with long-term AI/ML improvements.
- Track record building ML platforms, especially those that enable multiple teams to collaborate together.
- Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.
Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.
Ready to apply?
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Lead Solution Engineer
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Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.
At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.
As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization.
RESPONSIBILITIES
- Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
- Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
- Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
- Assist prospects and customers with business assessments (POCs, Pilots).
- Craft content to show customers how to leverage Gong for specific use cases.
- Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
- Solution complex business and technical requirements and explain them in simple terms.
- Assist with RFPs and questionnaires in the context of sales cycles.
- Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
- Partner with and support Marketing on demand gen activities (webinars, conferences, events).
- Contribute reusable assets to the Sales Engineering team and the company at-large.
- Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.
QUALIFICATIONS
- 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
- Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
- Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
- Understanding of security and privacy pertaining to SaaS systems.
- Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
- Excellent verbal and written communication skills.
- Strong interpersonal and teamwork skills.
- Able to make the complex sound simple!
PERKS & BENEFITS
- We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
- Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
- Mental Health benefits with covered therapy and coaching.
- 401(k) program to help you invest in your future.
- Education & learning stipend for personal growth and development.
- Flexible vacation time to promote a healthy work-life blend.
- Paid parental leave to support you and your family.
- Company-wide recharge days each quarter.
- Work from home stipend to help you succeed in a remote environment.
The target OTE for these positions is $205,000-$220,000.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
Ready to apply?
Apply to Gong.io
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Auth0 Sales Team
Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.
The Enterprise Auth0 Account Executive Opportunity
The successful Auth0 Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.
As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers.
This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation.
What you’ll be doing:
- Build a plan to guide your long-term approach to net new logo pipeline generation
- Consistently deliver revenue targets to support YoY territory growth
- Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
- Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers
- Scope, negotiate and close agreements to meet and exceed revenue quota targets
- Holistically embrace, access, and utilize partners to identify and open opportunities
- Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc)
- Travel as necessary to build and cultivate customer and prospect relationships
What you’ll bring to the role:
- 8+ years success in growing revenue for sophisticated, complex enterprise SaaS products
- Ability to evangelize, educate and create demand within the CTO organization, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
- Deep technical discovery skills that resonate with the developer community
- Strong technical acumen with proven ability to connect a technical sale to a companies’ business outcomes
- Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
- Confident and self driven with the humility required to successfully work in teams
- Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)
#LI-REMOTE
P11424_3425633
Below is the annual On Target Compensation (OTE) range for candidates located in San Francisco Bay Area. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
What You'll Do
- Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
- Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
- Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
- Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
- Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
- Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
You May Be a Good Fit If You:
- Have a strong interest in LLM serving; prior inference or ML experience is not required
- Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
- Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
- Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
- Thrive in cross-functional collaboration with both internal teams and external partners
- Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
- Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Strong Candidates May Also Have Experience With:
- LLM inference optimization, batching, and caching strategies
- Capacity-constrained scheduling or shared-resource test infrastructure
- Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
- Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
- Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.
You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.
Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).
You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.
Where you’ll work
This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Manage and scale IT infrastructure, services and tooling
- Work with a diverse group of IT partners to optimize our provided services
- Implement new services in support of Information Technologies vision
- Scale our services by implementing configuration as code via Terraform providers or APIs
- Operationalize and upskill IT and its partners by producing documentation and leading training sessions
- Evangelize best practices both internally and externally facing
Requirements
- 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
- Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
- Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
- Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
- Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
- Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
- Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback.
Bonus points
- Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
- Hands-on experience with Tines or other SOAR platforms to automate security operations.
- Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
- Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
- Relevant industry certifications such as CISSP, CISA, or CCSP.
- Experience building metrics dashboards for security visualization and reporting.
- Active contributions to the GRC or Security community through open-source projects or public research.
Compensation
The expected salary range for this role is $153,600 - $192,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.
You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.
Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).
You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Manage and scale IT infrastructure, services and tooling
- Work with a diverse group of IT partners to optimize our provided services
- Implement new services in support of Information Technologies vision
- Scale our services by implementing configuration as code via Terraform providers or APIs
- Operationalize and upskill IT and its partners by producing documentation and leading training sessions
- Evangelize best practices both internally and externally facing
Requirements
- 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
- Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
- Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
- Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
- Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
- Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
- Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback.
Bonus points
- Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
- Hands-on experience with Tines or other SOAR platforms to automate security operations.
- Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
- Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
- Relevant industry certifications such as CISSP, CISA, or CCSP.
- Experience building metrics dashboards for security visualization and reporting.
- Active contributions to the GRC or Security community through open-source projects or public research.
Compensation
The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.
You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.
Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).
You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.
Where you’ll work
This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Manage and scale IT infrastructure, services and tooling
- Work with a diverse group of IT partners to optimize our provided services
- Implement new services in support of Information Technologies vision
- Scale our services by implementing configuration as code via Terraform providers or APIs
- Operationalize and upskill IT and its partners by producing documentation and leading training sessions
- Evangelize best practices both internally and externally facing
Requirements
- 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
- Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
- Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
- Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
- Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
- Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
- Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback.
Bonus points
- Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
- Hands-on experience with Tines or other SOAR platforms to automate security operations.
- Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
- Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
- Relevant industry certifications such as CISSP, CISA, or CCSP.
- Experience building metrics dashboards for security visualization and reporting.
- Active contributions to the GRC or Security community through open-source projects or public research.
Compensation
The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.
You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.
Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).
You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Manage and scale IT infrastructure, services and tooling
- Work with a diverse group of IT partners to optimize our provided services
- Implement new services in support of Information Technologies vision
- Scale our services by implementing configuration as code via Terraform providers or APIs
- Operationalize and upskill IT and its partners by producing documentation and leading training sessions
- Evangelize best practices both internally and externally facing
Requirements
- 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
- Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
- Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
- Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
- Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
- Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
- Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback.
Bonus points
- Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
- Hands-on experience with Tines or other SOAR platforms to automate security operations.
- Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
- Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
- Relevant industry certifications such as CISSP, CISA, or CCSP.
- Experience building metrics dashboards for security visualization and reporting.
- Active contributions to the GRC or Security community through open-source projects or public research.
Compensation
The expected salary range for this role is $153,600 - $192,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Senior Pre- & Post-Sales Customer Engineer, Enterprise
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The Team + The Role
Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.
As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.
This is a remote role supporting a East Coast territory.
What this looks like day-to-day
- New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
- Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
- Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
- Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
- Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
- Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
- Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.
Who You Are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
Must-haves
- 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
- Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
- Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
- Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
- Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
- Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
- Experience mentoring or coaching more junior technical team members.
Nice-to-haves
- Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
- Hands-on experience with mobile app development, including Swift, Android, or React Native.
- Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
- Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Remote
Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.
Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Ready to apply?
Apply to Pendo
AI Security Engineer
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About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Los Angeles (CA), Cupertino (CA), Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role:
We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous improvement of security, governance, and trust controls for AI systems across the organization. This role will focus on operationalizing AI system security controls using the Agentic Trust Framework mapped to OWASP guidance and the NIST AI RMF, with particular emphasis on observability engineering, behavioral monitoring, policy enforcement, misuse detection, and risk-informed response.
This person will serve as a bridge between Security, Engineering, Data, Platform, Compliance, and AI product teams to ensure AI systems are not only functional and performant, but also trustworthy, auditable, resilient, and aligned with enterprise governance requirements.
The ideal candidate combines technical depth in AI/ML systems, strong security and monitoring instincts, and the ability to define practical controls for complex, fast-evolving agentic and generative AI environments.
We expect U.S. based working hours with the majority of the team working East and Central Time Zones.
In this role, you will:
- Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production.
- Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows.
- Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended.
- Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response.
- Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt.
- Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries.
- Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time.
You Are Likely To Succeed If:
- 5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation.
- Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications.
- Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows.
- Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements.
- Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response.
- Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation.
- Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE)
- Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries.
Preferred Qualifications:
- Experience with AI observability tooling, tracing frameworks, or telemetry pipelines for LLM or agent-based systems.
- Experience implementing controls for AI safety, AI red teaming, prompt security, model misuse detection, or secure tool execution.
- Familiarity with Microsoft security, compliance, and AI governance ecosystems.
- Familiarity with trust and safety concepts for generative AI and autonomous systems.
- Experience supporting internal governance, risk, privacy, or compliance review processes for AI-enabled products.
- Experience building dashboards, alerts, and behavioral analytics for security or operational monitoring.
- Experience working in highly regulated or audit-sensitive environments.
What We Offer:
-
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual on-target earnings for this position is anticipated to be up to $230 ~ $280K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have have US offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
Ready to apply?
Apply to YipitData (Alternative)
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Los Angeles (CA), Cupertino (CA), Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role:
We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous improvement of security, governance, and trust controls for AI systems across the organization. This role will focus on operationalizing AI system security controls using the Agentic Trust Framework mapped to OWASP guidance and the NIST AI RMF, with particular emphasis on observability engineering, behavioral monitoring, policy enforcement, misuse detection, and risk-informed response.
This person will serve as a bridge between Security, Engineering, Data, Platform, Compliance, and AI product teams to ensure AI systems are not only functional and performant, but also trustworthy, auditable, resilient, and aligned with enterprise governance requirements.
The ideal candidate combines technical depth in AI/ML systems, strong security and monitoring instincts, and the ability to define practical controls for complex, fast-evolving agentic and generative AI environments.
We expect U.S. based working hours with the majority of the team working East and Central Time Zones.
In this role, you will:
- Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production.
- Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows.
- Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended.
- Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response.
- Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt.
- Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries.
- Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time.
You Are Likely To Succeed If:
- 5+ years of experience in one or more of the following: security engineering, detection engineering, observability engineering, site reliability engineering, application security, ML platform engineering, or AI governance implementation.
- Experience designing monitoring, logging, telemetry, or detection strategies for distributed systems, cloud services, or data-intensive applications.
- Familiarity with AI/ML system architecture, including large language models, retrieval-augmented generation, inference pipelines, model APIs, and agentic workflows.
- Experience translating governance, risk, or policy requirements into operational controls and measurable technical requirements.
- Strong understanding of security concepts such as identity and access management, least privilege, data protection, abuse prevention, auditability, and incident response.
- Experience investigating system behavior, identifying anomalies, and working cross-functionally to drive remediation.
- Hold industry certifications (or equivalent experience): CISSP, CCSP, GIAC Machine Learning Engineer (GMLE)
- Strong written communication skills, including ability to write standards, control definitions, runbooks, and leadership-facing summaries.
Preferred Qualifications:
- Experience with AI observability tooling, tracing frameworks, or telemetry pipelines for LLM or agent-based systems.
- Experience implementing controls for AI safety, AI red teaming, prompt security, model misuse detection, or secure tool execution.
- Familiarity with Microsoft security, compliance, and AI governance ecosystems.
- Familiarity with trust and safety concepts for generative AI and autonomous systems.
- Experience supporting internal governance, risk, privacy, or compliance review processes for AI-enabled products.
- Experience building dashboards, alerts, and behavioral analytics for security or operational monitoring.
- Experience working in highly regulated or audit-sensitive environments.
What We Offer:
-
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual on-target earnings for this position is anticipated to be up to $230 ~ $280K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have have US offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
Ready to apply?
Apply to YipitData
Machine Learning Engineer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer. We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
- Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
- Participate in code reviews, testing, and quality assurance processes.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Document and communicate development processes and implementation details with peers and supervisors
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.
- Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Proficiency in Python and familiarity with ML libraries such as PyTorch.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
Ready to apply?
Apply to Judi Health
Senior Director, Data Product Management
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Our Internal Data team powers decisions and applications across MongoDB, supporting teams in Go-to-Market (GTM), Product and Technology, Finance, and HR. As MongoDB scales, we are making a significant investment in becoming a truly Data-Driven Enterprise — one built on trusted, governed golden data assets, world-class self-serve capabilities, and AI-ready data infrastructure. This is a rare opportunity to lead a high-visibility, company-defining initiative that will transform how MongoDB teams access, trust, and act on data.
This role can be based in one of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid working model, or remotely within the United States.
As Senior Director of Data Product Management, you will own the vision, strategy, and execution of MongoDB's internal data product portfolio, with an initial focus on Go-to-Market (GTM) functions including Sales, Marketing, and Customer Success. You will lead and grow a team of four Product Managers, partnering deeply with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver the data products MongoDB teams rely on every day. These products span data pipelines, canonical datasets, dashboards, APIs, ML models, and self-serve frameworks that power analytics, AI, and business decision-making at scale.
This role is ideal for a seasoned data product leader who brings both strategic vision and operational depth — someone who can engage credibly with C-suite stakeholders, inspire a high-performing team, and drive a complex, multi-workstream enterprise initiative from vision to measurable impact.
Responsibilities
- Own and communicate a compelling, multi-year product vision and strategy for MongoDB's internal data products, anchored in the goal of building a Data-Driven Enterprise with trusted golden data and strong self-serve capabilities
- Serve as a thought partner and key point of contact for C-suite and executive stakeholders, translating enterprise data strategy into a clear, prioritized product roadmap
- Lead, mentor, and grow a team of Product Managers, fostering a high-performance culture of ownership, curiosity, and impact
- Champion the development of canonical, single-source-of-truth golden data assets that serve as the single source of truth for Customer, Product, People and Finance data, breaking down siloes and cultivating a common language across metrics business-wide
- Drive the build-out of self-serve data capabilities that empower business users to access, explore, and act on trusted data with minimal friction
- Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
- Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
- Define and own success metrics for the data product portfolio, using data to demonstrate business impact and continuously raise the bar
- Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
- Drive organization-wide adoption of data products through effective storytelling, clear documentation, enablement programs, and change management
Requirements
- 10+ years of product management experience, with at least 3–5 years in a senior leadership role managing product managers and delivering data products or data platforms at scale
- Demonstrated experience leading large, strategic, enterprise-wide data democratization initiatives with executive visibility and cross-functional complexity
- Deep understanding of modern data ecosystems, including data pipelines, lakehouse and medallion architectures, analytics platforms, and data governance frameworks
- Exceptional communication and executive presence, with the ability to translate complex technical strategies into compelling narratives for C-suite audiences
- Proven ability to define and execute a vision for trusted, governed data assets and scalable self-serve data capabilities
- Experience building and scaling self-serve analytics and data enablement programs
- Experience partnering with and influencing partner organizations across the company at the leadership level
- Strong people leadership skills, with a track record of developing and retaining high-performing product talent
- Ability to operate effectively in fast-paced, ambiguous environments, balancing long-term strategic thinking with near-term execution
Nice to Have
- Background in analytics, data science, or data engineering
- Familiarity with metadata management, data discoverability, or data catalog tooling
- Exposure to AI/ML product development in the context of enterprise data platforms
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273386452
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
What you’ll do
As a Staff Software Engineer on the Identity & Access Management (IAM) team, you will be a primary architect of CoreWeave’s IAM strategy as we rapidly expand the platform. You will leverage your deep expertise in identity systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. This is a high-impact leadership role where you will balance rapid execution with the long-term technical vision necessary to meet the demands of our global enterprise customers.
About the role
- Technical Strategy & Vision: Partner with Product and Engineering Leadership to translate complex requirements into a multi-year technical roadmap that balances immediate business needs with long-term architectural integrity
- System Architecture: Lead the design and implementation of high-throughput, low-latency distributed systems for authentication and authorization across all CoreWeave services
- Platform Evolution: Architect customer-facing experiences for identity lifecycle management, IdP integration (SAML/OIDC), and granular permissioning models
- Engineering Excellence: Champion a security-first mindset across the organization, establishing rigorous standards for code quality, design reviews, and threat modeling
- Operational Leadership: Elevate the team’s operational maturity by defining SLOs, enhancing deep-stack observability, and driving automation to eliminate systemic toil
- Technical Mentorship: Act as a force multiplier by mentoring Senior engineers and fostering a culture of continuous learning and high-performance engineering
- Cross-Functional Influence: Drive alignment on critical security initiatives across the broader engineering organization, articulating complex technical trade-offs to stakeholders
Who you are
- 10+ Years of Experience building and operating large-scale distributed systems in a production environment using one or more of Go, TypeScript, or React
- 5+ Years of IAM Domain Expertise: Proven track record of developing identity products and a deep mastery of standards including OIDC, OAuth2.0, SAML, and JWT
- Technical Leadership: Demonstrated experience leading large, cross-functional projects from inception to planet-scale deployment with measurable business impact
- Cloud-Native Mastery: Deep understanding of Kubernetes, microservices architecture at scale, and advanced CI/CD patterns
- Enterprise Security Acumen: Solid knowledge of the security, compliance (SOC2, HIPAA, etc.), and governance needs of sophisticated enterprise customers
- Strategic Communication: Superb ability to synthesize ambiguous requirements into clear technical designs and communicate trade-offs to both executive and technical audiences
- Analytical Problem Solving: Expert-level ability to debug complex, intermittent issues within distributed environments
Preferred
- Architectural Transformation: Experience leading the decomposition of monolithic architectures into high-performance microservices
- AI-Augmented Development: Familiarity with leveraging AI agents (e.g., Claude, Cursor) to accelerate the software development lifecycle
- Emerging Tech Knowledge: Familiarity with AI/ML workloads, GPU-based infrastructure, and the unique security challenges of MLOps at scale
- Policy-as-Code: Experience with modern authorization frameworks such as Open Policy Agent (OPA) or Cedar
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You love to solve complex problems and build high-scale, low-latency distributed systems.
- You’re curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads.
- You’re an expert in one or more preferred programming languages (Go, TypeScript, Python), and have deep technical knowledge of distributed systems.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
California Consumer Privacy Act - California applicants only
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Ready to apply?
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Senior Creative Producer
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About GlossGenius
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.
Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
About the Role
We're looking for a sharp, systems-minded senior creative producer to own the production and delivery of creative across our go-to-market marketing functions, Brand, Product Marketing, and Lifecycle. This is a high-visibility, high-coordination role: you'll be the operational backbone that keeps campaigns moving across multiple teams simultaneously, ensuring every launch, email campaign, and brand moment is delivered on time, on brief, and on brand. You're equal parts creative partner and project owner, someone who can track a complex launch calendar while also giving thoughtful feedback on an email header. You'll report to the Creative Operations Lead and work closely with Brand, PMM, and Lifecycle stakeholders.
You must be commutable to our NYC headquarters and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What You’ll Do
- Manage the GTM creative pipeline, own intake, scoping, scheduling, and delivery of creative requests across Brand, PMM, and Lifecycle; maintain a single source of truth for all in-flight work and upcoming launches
- Translate briefs into production-ready work, partner with Brand, PMM, and Lifecycle teams to turn campaign briefs into clear plans that designers, copywriters, and production partners can act on immediately
- Drive review cycles from start to finish, structure feedback rounds across multiple stakeholders, consolidate notes to eliminate conflicting direction, and keep approvals moving so creative never holds up a launch
- Coordinate cross-functional launches, build and maintain launch timelines that account for dependencies across creative, copy, web, email, and GTM teams; flag risks early and keep stakeholders aligned
- Maintain creative ops infrastructure, own project management tooling (e.g. Asana), asset libraries, naming conventions, and handoff processes; influence systems that scale as campaign volume grows
- Manage external vendors and freelancers, onboard and brief third-party partners, set delivery expectations, and ensure outside contributors meet quality and timeline standards without disrupting internal workflows
- Support resource planning, help the Creative Operations Lead track capacity across the team, anticipate crunch periods around key launches, and flag when additional resources are needed
What We’re Looking for
- 4–6+ years of project management or creative operations experience, ideally spanning brand, product marketing, and lifecycle campaigns within a marketing organization
- Experience running creative production across multiple marketing functions simultaneously, you know how to prioritize competing requests without dropping balls or burning out your creative team
- Strong working knowledge of digital campaign production, you understand how creative moves from brief to design to deployment across digital channels, and can coordinate across teams and platforms without things falling through the cracks
- Familiarity with product launch and GTM processes, you've supported product marketing teams through launches and understand the creative touchpoints involved: landing pages, one-pagers, sales decks, paid social, email
- Proven experience managing external vendors and third-party partners, you can onboard freelancers and agencies quickly, set clear expectations, and hold partners accountable to quality and delivery standards
- Strong command of project management tools at scale, experience enforcing usage guidelines and driving adoption across 20+ users; you know how to get a large, cross-functional team to actually work the way the system is designed
- Excellent communicator who can manage up, across, and down, you give clear direction, surface issues early, and keep stakeholders informed
- Detail-oriented with a creative sensibility, you don't need to be a designer, but you have an eye for quality and can give actionable, specific feedback on creative work
- Bonus: Experience in appointment-based or consumer lifestyle brands; familiarity with Figma for reviewing design files
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially covered by GG
- Fertility and adoption benefits via Carrot and Kindbody
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Team Bonding: As a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year
The starting base salary for this role in New York is between $130,000-$155,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
Ready to apply?
Apply to GlossGenius
Staff Product Designer
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About GlossGenius
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.
Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
About the Role
As a Staff Product Designer, you will lead and own design in our Core product area, focused on empowering beauty and wellness businesses to operate and grow with seamless, reliable tools. You’ll own the strategy and execution of key product experiences together with your Product and Engineering counterparts—from scheduling needs and client and team management to payment processing. As AI reshapes how products are built and experienced, you'll play a central role in defining how intelligent features show up for our customers, thoughtfully, usefully, and in a way that feels native to the GlossGenius experience. Our ideal candidate will be able to craft a diverse set of creative solutions to complex product design problems by working with our product team and leadership in Core Product.
You must be commutable to our NYC headquarters office and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What You’ll Do
- Own the entire design process, from strategy to execution, of your product area
- Work on the user experience across Core product features within the GlossGenius app
- Own the end-to-end process for solving UX/UI design problems: ideate, conceptualize, test, and refine
- Construct user flows, wireframes, and prototypes that effectively communicate design concepts
- Identify and design AI-powered product experiences that meaningfully reduce friction for small business owners
- Lead user interviews to better understand customer needs to help inform the product design strategy
- Collaborate with cross-functional teams of product managers, software and QA engineers, customer success managers, and marketers to design intuitive and engaging user experiences for GlossGenius' customers
- Deliver products that are recognized as the best in the industry by understanding GlossGenius’s strategic and competitive position
- Take initiative in thinking of new ways our users can interact with GlossGenius
What We’re Looking For
- 7+ years of experience in a Product Design/UX/UI or related role; prior experience designing booking platforms, scheduling tools, team management, or financial/payment products is a strong plus
- Demonstrated experience with sketching, wireframes, visual design, and prototyping for product experiences
- Experience with advanced prototyping tools (e.g. Principle, Framer, Sketch, Figma, InVision)
- Proven experience leveraging AI tools to shape design strategy and deliver impactful AI-driven experiences
- Passion for empowering small business owners to be successful; possess a high level of empathy for our customers and a strong desire to deeply understand their needs
- Experience navigating ambiguous high-growth, fast-paced product-driven environments
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially covered by GG
- Fertility and adoption benefits via Carrot and Kindbody
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Team Bonding: As a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year
The starting base salary for this role in New York is between $215,000-$258,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
Ready to apply?
Apply to GlossGenius
Senior Manager, Growth Operations
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About GlossGenius
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.
Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
About the Role
We're looking for an exceptional operator to serve as the Senior Manager, Growth Operations — the engine behind the engine. Our self-serve growth motion has helped GlossGenius scale to 100,000 active subscribers. This role exists to build the systems, processes, and intelligence infrastructure that keep it running faster every month.
You will know the self-serve funnel more deeply than anyone at GlossGenius. You will own the weekly business reviews, run our experimentation operating system, partner with finance on forecasting, partner closely with the GTM Analytics team, and proactively surface the risks and opportunities that keep our growth trajectory on track.
This is not a channel execution role — we have exceptional people running paid social, paid search, and lifecycle. This is the role that makes all of those functions more cohesive, more measurable, and maximally impactful.
You will report to the VP of Growth Marketing. You must be commutable to our NYC headquarters. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.
What You’ll Do
- Build and own a real-time intelligence view of GlossGenius's self-serve funnel — every stage, every conversion point, every leverage opportunity — and proactively flag deviations before they show up as misses in the monthly numbers
- Run the weekly business reviews — own the agenda, the data, and the narrative. Translate numbers into decisions, not just updates
- Own the end-to-end experimentation process for the self-serve funnel: what's being tested, by whom, with what hypothesis, and what was learned. Maintain the experiment registry, change log, and learning archive
- Track and report on experimentation velocity and win rate; build systems that make GlossGenius a learning organization, not just a testing one.
- Design and maintain the dashboards and tooling that give channel owners (e.g. paid social, paid search, lifecycle) consistent, granular visibility into their performance — and hold the standard on measurement quality.
- Partner with Strategic Finance to co-own the self-serve financial model assumptions, run scenario analysis, and ensure GTM performance data and financial planning are working from the same reality.
- Continuously monitor competitors and study best practices in PLG, self-serve SaaS, and vertical SaaS growth — surface multiple high-impact intelligence insights per month with a clear recommendation.
- Identify and pursue the highest-leverage operational and analytical opportunities across the self-serve business it evolves
What We’re Looking For
- 7+ years of experience in growth operations, strategy and operations, marketing analytics, or a related function at a fast-growing software or internet business — we care more about the instincts than the exact path.
- Demonstrated track record of building operating systems for growth or marketing teams — dashboards, experiment tracking, business review cadences, forecasting processes — not just executing within them.
- Experience running recurring business reviews with senior leadership where you owned the narrative and drove decisions, not just reported status.
- Direct experience working with finance on forecasting or model assumptions — as a contributor, not a consumer.
- Strong analytical and problem-solving skills — comfortable in SQL or equivalent, fluent in attribution, experimentation design, and business modeling.
- Expert knowledge of AI tools and technologies, with hands-on experience using AI operationally to build faster, analyze faster, and generate insights at a speed that wasn't previously possible — this is a hard requirement, not a nice-to-have.
- Exceptional communication skills — you translate complex data into clear decisions for non-technical audiences and can run a room with senior leadership.
- Systems-first thinking: your instinct when facing a recurring problem is to build a process, not solve it one more time manually.
- Experience in PLG, self-serve SaaS, or vertical SaaS is a plus — understanding funnel economics intuitively accelerates your impact here.
Nice to have:
- Prior people management experience — though first-time managers are welcome if you have led cross-functional projects with real accountability.
- Background in consulting or strategy and operations with a transition into growth or marketing.
- Familiarity with GlossGenius's tech stack: Snowflake, Hex, Iterable, Segment, Eppo.
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially covered by GG
- Fertility and adoption benefits via Carrot and Kindbody
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office support
- Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year
The salary for this role is between $180,000-$230,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
Ready to apply?
Apply to GlossGenius
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
The Customer Problem
When you open Spotify, the homepage is different for every user. When you browse Nike's site, products are ranked by what Nike thinks you'll buy. When you log into Chase, offers are tailored to your spending. This is web and mobile personalization: deciding in real time what each customer sees inside your product. It directly moves conversion, retention, and revenue at the point where customers are already engaged.
Almost nobody does it well outside of companies that build it from scratch. A single experiment (testing whether high-spend users convert better seeing a loyalty upsell on the account page) requires an analyst to build the segment, a PM to write targeting rules, a designer to create variants, an engineer to instrument the test, and someone to monitor results. Most teams run 5–10 per quarter and end up with a handful of static rules covering a fraction of their users.
The tools that exist (Optimizely, Adobe Target) handle infrastructure but don't solve the coordination problem. Every experiment, audience, and piece of content still requires manual configuration. They also force companies to duplicate customer data into a proprietary store, adding months of implementation and permanent vendor lock-in.
Why Agents are the Solution
The shift from "AI assists a step" to "AI owns a workflow" is already happening in software engineering. Personalization is ready for the same shift.
Today: A growth team testing whether high-intent visitors convert better with a comparison page spends 2–4 weeks coordinating across tools and people. They run maybe 8 experiments that quarter.
With agents: The growth lead describes the goal. An agent identifies the audience from existing customer data, generates variants informed by past performance, configures the experiment with holdout groups, launches it, monitors significance, and reallocates traffic. The human reviews before launch. Calendar time: hours. The same team runs 50+ experiments per quarter because the coordination cost drops to nearly zero.
Agents handle the full chain as one workflow: audience, content, experiment, optimization. Instead of a bunch of manual steps, agents rethink this as a continuously improving closed loop.
Why Hightouch, Why Now
More than 1,000 enterprises—like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, use Hightouch to run their marketing. Earlier this year we launched the Agentic Marketing Platform with two pillars:
- Agentic Advertising Studio. Agents analyze performance, competitor creative, and brand guidelines, then assemble ad concepts across Meta, Google, TikTok, and LinkedIn.
- Agentic Lifecycle Studio. Agents identify lifecycle opportunities, draft audiences, assemble on-brand email and SMS campaigns, and orchestrate them through Braze, Iterable, Salesforce, and Adobe.
Advertising covers paid media. Lifecycle covers email, SMS, and push. Agentic Personalization is the third pillar: what customers experience inside the website and mobile app. Different buyer (product and growth teams), different workflow (real-time experimentation), different technical surface (browser SDKs and edge delivery). Same agent infrastructure and data foundation.
What no competitor can replicate:
- Agent orchestration. 25+ specialized skills for audience building, content generation, campaign analysis, and multi-step workflow coordination.
- Content assembly. Agents search existing asset libraries for reusable on-brand content before generating anything new, which is what makes output trustworthy enough for enterprises to ship.
- Marketing and brand context. Persistent layer connecting customer data, brand guidelines, creative assets, and performance history so agents operate grounded in how the business works.
- Real-time data infrastructure. Low-latency personalization API, sub-second audience evaluation, ML-powered optimization and recommendations, event pipeline processing millions of events daily.
The Role
Founding Product Manager for Agentic Personalization: Hightouch's third major pillar and biggest new investment. You define the product, the sequencing, and the go-to-market.
- Customer discovery. Deep engagement with product and growth teams at enterprise companies to understand how they personalize web and mobile today, and what would earn their trust in an agent-driven approach. Translate into a roadmap tied to revenue milestones.
- Define the agent experience. What agents do autonomously (segments, variants, experiments, traffic allocation) vs. what needs human approval (production launches, brand-sensitive content). Design the feedback loop that builds trust over time.
- Scale the GTM. Co-own pipeline, join customer calls, shape competitive positioning, partner with CS on implementation playbooks.
High-visibility role working directly with founders and executive team.
What We're Looking For
- Zero-to-one track record. Products you built from nothing to meaningful revenue, ideally at a B2B SaaS company. Domain matters less than evidence you can find product-market fit under uncertainty.
- Technical depth. Can evaluate architectural tradeoffs, debate infrastructure decisions with senior engineers, and reason about things like batch vs. real-time and caching strategies at the level of product decisions.
- Commercial instinct. Think in terms of pipeline, conversion, and expansion. Build roadmaps that map to revenue targets.
- Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows.
- Cross-functional trust. This spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $240,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
At its core, the AI Strategy Consultant role centers around driving marketing strategy and transformation in enterprise organizations.
Today, most marketing communications are planned weeks in advance on a calendar based on dates and internal priorities. Each email, push, campaign takes 3-5 people and dozens of steps to create. Our customers come to us looking to transform the way they do marketing: using AI agents to rapidly learn about consumer preferences and deliver highly effective marketing and product experiences to each customer 1:1.
As an AI Strategy Consultant, you are the trusted technical–strategic partner for our AI Decisioning customers. You own the bridge between what the product can do and what the customer’s business needs — from discovery through go‑live and expansion.
You’ll work with as a part of a driven and creative team of ML + product engineers, product designers, and other Strategy Consultants to deploy new use cases with the largest customer-facing brands in the world. Your mission is to uncover the most impactful use cases for our customers, understand the insights that are derived from the decision engine, and recommend to our customers new campaigns or adjustments to achieve greater outcomes.
You’ll immerse yourself in our customer’s marketing organization. You’ll partner with customer teams and explore the data, and plunge into the product landscape to help us scale. The problems you’ll work on require a curious and analytical approach, sharp product intuition, and the ability to use insight to improve decisions.
No two days are the same, but you can expect to:
- Own all phases of AI Decisioning use case delivery working alongside Hightouch engineers, customer executives, marketers, and IT stakeholders
- Run design sessions with customers to decide on and document use case requirements and improvements
- Champion delivery & project management excellence through development of process playbooks and best practices
- Proactively identify, escalate, and mitigate potential project risks
- Build relationships with key stakeholders at Hightouch customers
- Participate in driving the AI Decisioning product strategy
What We're Looking For
- Ability to travel 10 - 25% required
- Experience working with Martech tools/CEMs/CDPs/etc.
- Strong discovery and interpersonal skills
- Intellectual curiosity, high ambition, and humility
- Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
- Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
Bonus If You Have
- Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL)
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000-$200,000 (80/20 split variable) USD per year.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Engineering Manager, Head of Machine Learning
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About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.
At Hightouch, our engineering leaders serve as both active technical voices and strong people managers. The key outcomes we are looking for from this role include:
- Product Development: Lead the team in roadmapping and executing successful development of significant features and products as required to drive the business forward. Uphold a high technical bar, while making pragmatic tradeoffs
- Pace: Through a combination of leadership and technical expertise, improve the pace of execution of the team
- Recruiting: Be responsible for growing the team, including identifying needs, deciding how to evaluate candidates, and ensuring we hire high impact team members
- Reliability: Against the uphill battle of high growth/scale, up-level the team on reliability, resulting in fewer incidents, catching our own issues before our customers do, and a strong incident management hygiene
- People: Foster growth of team members and ensure strong engagement and motivation
Some of the problems we’ll be working on include:
- Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
- Probabilistic Identity Resolution: Many of our customers have multiple datasets and sources of information on their users. How do we stitch these datasets together and decide which profiles are from the same user or household?
- Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
- ML Infrastructure: Building the infrastructure to support model training and interference at scale for some of the largest companies in the world.
What We Offer
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $230,000 - $350,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We're looking for a front-end focused full stack product engineer to join our fast-growing engineering team, where you’ll help develop delightful and intuitive interfaces that enable non-technical users to easily engage with advanced features.
At Hightouch, full stack engineers work closely with design, product managers, solutions engineers, and customers to understand problems and build polished and intuitive features.
On a typical day, you will be:
- Architecting and building features end-to-end for a new generation of marketing and growth products
- Collaborating closely with customers and cross-functional partners - designers, product managers - to understand real-world behavior
- Working alongside ML engineers to surface insights that empower marketers to make confident decisions
Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, and be proficient in building CRUD applications and with a solid understanding of backend API design and data models.
Our frontend is built in React and Typescript, and our backend is also built on Typescript with some elements of Go.
The salary range for this role is $180,000 - $270,000 USD per year, fully remote and location-independent. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- Frontend Technical Screen [60m]: You will work together with one of our frontend engineers to build a component that is used commonly throughout the Hightouch app.
- Full Stack Interview [90m]: This interview is a design-focused session where you'll work collaboratively with the interviewer to think through real product and engineering problems.
- Hiring Manager Interview [30m]: Chat with the hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
#LI-DNI
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
The Web Engineering team owns our public website (hightouch.com), which is the face of our company and brand and one of the most important ways that customers and prospects learn about Hightouch. We’re looking for a talented senior web engineer who is passionate about crafting exceptional experiences and cares deeply about the story that we tell customers. As Hightouch continues to scale rapidly, you will play a pivotal role in shaping how we position and promote our new product offerings, including cutting edge advancements in marketing AI and ML.
In this role, you’ll partner closely with our marketing and design teams to build, iterate, and maintain our marketing website. Key responsibilities include:
- Lead the design, scoping, and implementation of marketing website projects such as new feature pages, blog revamps, and more
- Integrate CMS-powered interfaces (we use Sanity) that allow marketers to update content independently
- Build and maintain our design system to ensure we can continue to build with high velocity and high standards for UX
- Develop engaging animations that enhance product storytelling using technologies such as Motion and GSAP
- Exercise strong design judgment and attention to detail to ensure that every aspect of our site reinforces our brand identity
About you
- 5+ years of experience in software/web engineering, ideally with strong proficiency in React, TypeScript, CSS, and Next.js
- Demonstrated ability to build production-ready web applications in a fast-paced environment
- Excellent design taste and obsessive attention to detail
- Proven experience with code-based animations (e.g., using Motion or GSAP) or experience collaborating with contractors on creative implementations
- Ability to work autonomously, lead and coach other engineers, and collaborate effectively with marketing, design, and data teams
- Deep understanding of SEO principles and best practices, especially around performance, accessibility, and search optimization
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
Our interview process focuses on evaluating fit for the most important dimensions of the role: cross-functional collaboration, a strong sense of design and user experience, and experience building production frontend components.
- Intro Call [30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
- Technical Screen [45m]: Work with one of our frontend engineers to build a simple component using React and TypeScript.
- Past Projects Deep Dive [45m]: Walk through 2-3 previous projects (personal or professional) with your interviewer while highlighting big wins, challenges, and key decisions.
- Technical Interview [90m]: Work with the interviewer to design, architect, and implement a complex frontend component.
- Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Compliance at Brex
The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.
What you’ll do
As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team. You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment.
Where you’ll work
This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
- Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
- Take ownership of the success of our internal controls, spot and scope opportunities for improvement
- Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
- Support vendor integrations and address questions from L1 alert reviewers
Requirements
- 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
- Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
- Technical aptitude in understanding complex money movement across payment methods and rails
- Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
- Familiarity working with AI tools
- Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
- Strong communication and interpersonal skills
- English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
Bonus points
- CAMS Certified
- Experience using various transaction monitoring systems
- Insatiable curiosity
- Eagerness to learn
- Detail oriented
- Desire to build
Compensation
The expected salary range for this role is $86,784 - $108,480. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
We are seeking a highly strategic and outcome-oriented Senior Growth Partnerships Manager to scale our affiliates and partnerships-driven retailer acquisition strategy. This role will be responsible for driving the strategy and execution of our affiliate channel, which includes managing our agency and external vendor relationships, exploring and testing new growth opportunities across the broader partnerships ecosystem, and rigorously tracking performance to ensure it is a consistent, ROI-positive contributor of retailer acquisitions (RAs) at scale
With 5-8 years of experience in growth marketing or partnerships strategy, the ideal candidate is equally comfortable on the partner relationship side and the quantitative side of growth. We are looking for someone who brings a metrics-driven lens to everything they own, thrives in a fast-paced, test-and-learn environment, and has a track record of scaling acquisition-driven programs from 0 to 1, and beyond. This is a high-impact role that requires a well-rounded leader, and the ideal candidate is a results-focused, structured thinker who can drive complex projects to completion with minimal direction.
What you’ll do
- Affiliate Program Management: Directly drive Faire’s GMV and revenue growth by owning and optimizing our affiliate program end-to-end to maximize retailer acquisition growth while maintaining efficient acquisition costs.
- Agency & Partner Relationship Management: Serve as the primary point of contact for our affiliate agency. Oversee program execution, set clear deliverables, and hold the agency accountable to performance targets to ensure continued strong results. Evaluate and make recommendations on the right operating model — agency-led or in-house — as the program scales.
New Channel Development: Build the ROI case to test new acquisition channels within the broader partnerships ecosystem — including blog, influencer, and referral programs. Establish and refine KPIs, analyze performance data, and continuously iterate to maximize scale and efficiency.
- Partnership Strategy and Prioritization: Analyze the third-party partner ecosystem and invest in innovative BD partnership models to drive retailer acquisition, including direct partnerships, sponsorships and trade show collaborations. Test deal structures and own the product/design integration and messaging framework for new partnerships.
- Performance Measurement: Analyze and own accountability for campaign and channel performance; partner with Marketing Analytics and MarTech to hit KPI targets, maintain strong reporting, ensure reliable attribution, and uphold data quality standards.
- Collaborate cross-functionally: Work closely with Growth Marketing, Marketing Analytics, Business Development and Product teams to integrate partnerships into our broader acquisition strategy.
SEO/AEO Support: Collaborate with cross-functional partners to support SEO and AEO initiatives where partnerships can contribute to organic discovery and retailer acquisition goals.
Qualifications
- 4+ years of experience in Growth Marketing or Partnerships, with a focus on acquisition-driven partnerships in B2B or B2C (e.g., affiliates, influencers, referrals, sponsorships).
- Deep understanding of affiliate marketing strategies, including experience with networks, publishers, influencers, and performance-based partnerships; experience managing affiliate networks (e.g., Impact, PartnerStack, CJ, Rakuten, Awin, ShareASale) and developing direct partnerships.
- Proven experience managing external agencies or vendors, including setting deliverables and holding partners accountable to performance targets
- Proven ability to scale affiliate programs within ROI guardrails, optimize partner performance, and manage both long-tail and strategic partnerships with the tenacity to overcome obstacles to growth.
- Hands-on experience in testing and launching new growth channels, including referral programs, influencer partnerships, and non-traditional acquisition channels.
- Ability to identify and cultivate high-value third-party partnerships, balancing short-term testing with long-term scalability and opportunity sizing.
- Some experience structuring or negotiating partnership or business development deals
- Excellent analytical, organizational, and written/verbal communication skills; Can effectively communicate through data using clear and concise summary; familiar with SQL or willingness to learn a plus.
- Strong project management and execution skills, able to drive multiple initiatives simultaneously in a fast-paced environment.
Salary Range
New York: the pay range for this role is $148,000 to $203,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Senior Business Intelligence Analyst
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions.
What you’ll do
- Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices
- Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes
- Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization
- Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives
- Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization
- Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage
Qualifications
- 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function
- Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases.
- Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms
- Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker)
Nice to have:
- Experience with Python, R or other programming languages
- BA/BS degree, ideally in computer science, math or another quantitative field
- Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation
Salary Range
San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
The Lead Creative Producer will own and scale Faire’s end-to-end creative production for global marketing campaigns. This role blends hands-on execution with strategic planning to ensure campaigns are delivered with clarity, speed, and creative excellence from concept through launch.
You will define and elevate how campaigns are produced—establishing scalable processes, improving cross-functional alignment, and driving operational rigor across Creative, Marketing, Growth, Product, and external partners. As the connective tissue across teams, you bring structure to complexity, guide high-stakes work with sound judgment, and ensure creative integrity at every stage.
Campaigns span concept development through asset production across film, video, photography, audio, motion/animation, and 3D—integrated into cohesive, multi-channel launches. The scope also includes localization, licensing, and legal/regulatory compliance, ensuring global readiness is built into production from the start.
By orchestrating work across mediums, partners, and markets, this role will formalize the operating standard for campaign production at Faire.
What you’ll do
- Deliver high-impact, integrated global campaigns from concept through launch—on time, on budget, and at a high creative bar
- Create clear production strategies that align scope, timelines, and resourcing—reducing friction and accelerating execution
- Drive strong cross-functional alignment across Creative, Marketing, Growth, Product, and agency partners, ensuring decisions are timely and teams stay focused
- Build review and approval frameworks that improve clarity, speed, and creative quality
- Make thoughtful trade-offs that protect campaign impact while navigating ambiguity and competing priorities
- Steward production budgets and vendor partnerships to maximize value and efficiency
- Design and evolve scalable workflows that increase velocity without compromising craft
- Identify and eliminate systemic inefficiencies, leaving the organization stronger after every campaign
- Ensure every asset meets a high standard for creative excellence, technical precision, and launch readiness
- Provide leadership with clear visibility into progress, risks, and recommendations—enabling confident decision-making
Qualifications
- 6–8+ years of experience in creative production, campaign operations, or agency leadership
- Proven track record leading large-scale, multi-channel campaigns across digital, video, social, paid, and owned channels
- Deep fluency in end-to-end creative workflows and production ecosystems
- Experience operating at a leadership level as a highly accountable individual contributor
- Demonstrated ability to balance strategic thinking with hands-on execution, connecting long-term vision to day-to-day delivery
- Strong operational rigor, creative judgment, and taste
- Experience developing, optimizing, and scaling systems, tools, and workflows for creative and production operations
- Track record of driving operational change and aligning cross-functional teams to a shared strategic direction
- Highly organized and structured, with the ability to apply process pragmatically to move work forward
- Exceptional cross-functional influence skills, with the ability to drive alignment and make decisions without direct authority
- Calm, decisive presence in high-pressure, high-visibility environments
Salary Range
San Francisco, CA, and New York, NY: The pay range for this role is $148,000 - $203,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Growth Marketing Manager, Paid Social
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
We are looking for a highly analytical and resourceful Growth Marketing Manager to drive the execution of our paid social and retargeting programs. This is an experimentation-heavy role focused on advancing a broad range of growth initiatives, from scaling Faire’s paid retargeting program to launching brand acquisition tests. Additionally, the role will support day-to-day paid social campaign management to ensure we hit KPI goals through the optimization of key performance levers. The ideal candidate is a scrappy, metrics-driven self-starter who is well-versed in the Meta platform and other paid social platforms, is comfortable managing campaigns with some guidance, and is eager to continuously explore new ways to incorporate AI into their workflows for increased efficiency. The ideal candidate is plugged into the social media landscape, staying current with creative trends and innovative campaigns from other companies to introduce fresh ideas. Has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support.
What you’ll do
- Execute and scale retargeting campaigns to drive repeat retailer purchases and improve retention, while maintaining strict efficiency goals.
- Assist in the day-to-day operations of our paid social program to analyze daily campaign performance and explore optimization opportunities (e.g. creatives, bidding, landing pages) in order to hit weekly KPI targets focused on maximizing user growth while maintaining efficient acquisition costs
- Lead the execution of new high-impact pilot growth projects that require quick implementation and are not yet a part of our evergreen programs.
- Identify opportunities to leverage AI and automation tools to streamline campaign processes, reporting and experimentation workflows.
- Collaborate with cross-functional teams to tackle a variety of challenges including troubleshooting tracking issues, coordinating with creative teams, and identifying resourceful, data-driven solutions to achieve KPI goals.
Qualifications
- 3-5 years direct, hands-on experience managing medium scale campaigns on Meta and other paid social channels with focus on optimizing for down-funnel metrics.
- Strong understanding of paid marketing metrics (CPM, CTR, CVR) and the appropriate levers to pull in different scenarios
- Proficiency with marketing automation tools for optimizing and making bulk campaign changes (e.g. Smartly, Hunch, Omneky)
- Highly analytical with a structured approach to solving problems. Proficient in analyzing large datasets through Excel and/or SQL and data visualization tools (e.g. Mode and Tableau)
- Experience using AI and automation to improve workflows and output quality such as campaign QA and analytics
- Track record as a fast learner with a knack for creative and technical solutions.
- Familiarity with AB testing and incrementality testing
- Experience using paid marketing for retargeting and reengagement a strong plus
- Experience in a two-sided marketplace or with products aimed at small business owners is a strong plus
- Experience in managing a cross-border program is a plus
- Ability to thrive in a fast-paced, constantly changing environment, with the agility and flexibility to balance multiple priorities simultaneously
San Francisco: the pay range for this role is $118,500 to $163,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Nanit:
Welcome to Nanit, the high-growth baby tech company that is changing the way parents experience parenthood through the world’s most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby’s sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly-engaged parents who look to Nanit as a source of information and expertise on their parenting journey.
About the Role:
Nanit is seeking a Global Product Safety & Compliance Manager to lead our product regulatory, safety, and compliance programs across all markets. Reporting to the Chief Legal & Administrative Officer, this role will serve as the company’s subject matter expert on product safety governance, regulatory risk, and global certification requirements.
You will partner cross-functionally with our Product, Engineering, Operations, Supply Chain, and Customer Success teams to ensure compliance is embedded throughout the product lifecycle—from early design through post-market monitoring.
Parents trust Nanit during some of the most important moments of their lives. Ensuring our products meet the highest global safety and compliance standards protects our customers, our brand, and our long-term growth. This role is critical to enabling responsible innovation at scale.
What You’ll Be Doing:
- Own Nanit’s global product safety and regulatory compliance strategy across North America, EMEA, and other markets.
- Advise executive leadership on regulatory risk, emerging requirements, and market entry considerations.
- Manage country-specific registrations and documentation requirements for global distribution.
- Oversee Declarations of Conformity, Technical Files, and compliance documentation retention.
- Embed regulatory requirements into product development and change management processes.
- Conduct regulatory risk assessments for new products and product modifications.
- Review labeling, packaging, user manuals, BOMs, and marketing claims for compliance alignment.
- Ensure compliance readiness prior to mass production.
- Support field incident review and product safety investigations in partnership with Legal and Customer Success teams.
- Develop and maintain recall readiness and corrective action procedures.
- Monitor customer feedback trends for potential safety or regulatory implications.
- Support regulatory reporting obligations where required.
- Build scalable compliance policies, SOPs, and governance frameworks.
- Develop training materials and conduct cross-functional compliance training.
- Oversee safety, EMC, RF, environmental, and reliability testing programs.
- Manage relationships with third-party testing labs and certification agencies.
- Ensure proper traceability, labeling accuracy, and documentation controls.
- Monitor and interpret evolving regulations and proactively guide internal stakeholders.
- Lead global certifications and approvals, including but not limited to:
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- CE (RED), UKCA
- FCC, ISED (Canada)
- UL/ETL safety certifications
- RoHS, REACH, WEEE
- CPSIA and applicable children’s product regulations
- California Prop 65
- Bluetooth/Wi-Fi certifications
Who You Are:
- 7+ years of experience in global product safety, regulatory compliance, or quality engineering.
- Experience with consumer electronics, connected/IoT devices, or juvenile products strongly preferred.
- Demonstrated experience managing international certifications and regulatory submissions.
- Experience working with contract manufacturers and third-party labs.
- Deep understanding of electrical safety, EMC, RF, and environmental regulations.
- Familiarity with children’s product safety requirements (CPSIA, ASTM standards preferred).
- Strong documentation discipline and experience maintaining Technical Files.
- Ability to assess regulatory risk and provide pragmatic, business-oriented guidance.
- Strong cross-functional leadership and influence without direct authority.
- Clear communicator capable of translating complex regulatory standards into actionable guidance.
- Highly organized, detail-oriented, and comfortable managing multiple concurrent certifications.
- Ability to operate independently in a remote environment while collaborating closely with NYC-based teams.
- Bachelor’s degree in Engineering, Regulatory Affairs, Quality, or related field.
- Advanced degree or certifications (e.g., RAC, CQE) a plus.
Why You’ll Love Working Here:
- Hybrid in office schedule
- Remote work from home month in August
- Flexible PTO (we trust you to take the time you need)
- Equity options so you can share in our growth
- Paid parental leave for all new parents
- Employee discounts on Nanit products
- Work from home stipend
- Monthly team events
EEO, Salary and Location:
This is a remote role with periodic travel to Nanit’s NYC headquarters.
Salary Range: $130,000 to $150,000 base salary + plus equity and benefits. The base pay is one component of Nanit's total compensation package, which may also include access to healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, and basic life insurance. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We are proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.
Ready to apply?
Apply to Nanit