Account Strategist

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Our US team consists of over 85 people and is an integral part of our company’s global presence. We combine local expertise with our broader company vision, ensuring innovative solutions that align with diverse market needs.

As an Account Strategist, you will have the opportunity to learn, grow and succeed! In this client-facing role, you will have the opportunity to build and retain client relationships, acting as an overall trusted advisor in our product suite. In this role, you will play an important part in growing existing partnerships, managing campaigns and ensuring optimization.

Why RTB House? 

This position is perfect for someone who is personally motivated, connects easily with people and is perhaps a bit tenacious. Someone with a high-level of professionalism and knowledge of the digital ecosystem. If this sounds like you, then you should apply right now!

You Will: 

• You will have the opportunity to work with some of the biggest US and global brands; some as support to senior level team members, while other relationships you will own and be responsible for their account development and growth strategy. 
• You will build strong relationships with clients, through regular face-to-face meetings, including communication via phone, video, and email.
• Maintain clear, concise and timely communication in regards to all customer requests.
• Work with Technical Account Managers to manage and optimize campaigns in order to achieve clients’ performance-based goals.
• Be an expert on all things RTB House, maintaining in-depth knowledge of all products and services.
• Provide regular reporting and updates on campaign performance, including QBR presentations.

Desired Experience: 

• 2+ years of general work experience.
• At least 1 year of experience in digital advertising or related field of study.
• Client facing work experience is a plus.
• Bachelor’s degree.
• A passion for digital marketing/e-commerce, with a desire to interact with enterprise clients and agencies.
• A knack for multitasking and organization. You’re able to juggle everything from campaign launches to ad hoc requests across multiple clients.
• A data driven mindset. You’re comfortable organizing data in Excel and Powerpoint to present insights and recommendations to your clients.
• A positive, can-do attitude. You have a high level of motivation and are willing to learn and adapt.
• A determination and drive to succeed. You are resourceful, and have excellent analytical and problem solving skills.

Don’t meet every single requirement? At RTB House we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but unsure about every qualification, we encourage you to apply. We may have just the job for you.

The salary range for this role is $75,000 to $93,000 in base pay, and is exclusive of any bonuses or benefits. The base pay offered will be determined on a case by case basis based on your experience, skills, training, certifications and education, etc., and will be informed by market data.

We Offer: 

YOUR WORKPLACE, YOUR CHOICE. We offer permanent remote work. Or in-office. Or a hybrid combination of both. Your choice. Do You! 

HAVE A VOICE. You will have a direct impact on the success of the company. Your work matters and is essential to the evolution, growth, and success of our business.

GROWTH. We prioritize your growth and career path with your goals and passions in mind, offer comprehensive and continuous training, and a stipend for external courses.

BENEFITS. Extensive benefits package including 100% coverage of your medical insurance premium, matching 401K plan, vacation days, sick days, office stipend, phone or internet stipend, baby cash, stipend for external training and more.

RECOGNITION. Performance bonus eligibility.

COMMUNITY. In-person and virtual events including coffee socials, happy hours, and off-site summits. You will get to work with amazing, inspiring, passionate people in one of the fastest growing sectors in online advertising.

Information on Equal Treatment Policies

Account Manager

Location: 

This position is open to candidates based in the United States, with a preference for those located in the Eastern or Central time zones.

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Our US team consists of over 85 people and is an integral part of our company’s global presence. We combine local expertise with our broader company vision, ensuring innovative solutions that align with diverse market needs.

As an Account Manager, you will own the client relationship post-sale and are responsible for ensuring superior client service through excellence in campaign management, relationship development and client retention. In this client-facing role, you will work on leading brands and focus on performance optimization and account growth. 

Why RTB House? 

If you are a passionate self-starter with strong people skills and analytical abilities, and you understand business drivers for performance, this may be the perfect role for you!

You Will: 

• You will have the opportunity to work with some of the biggest US and global brands, and as the quarterback of your accounts, you will be behind the plays when it comes to account development and growth strategy. 
• As the main point of contact, you will build strong relationships with clients, through regular face-to-face meetings, including communication via phone, video, and email.
• Maintain clear, concise and timely communication in regards to all customer requests.
• Be an expert on all things RTB House, maintaining in-depth knowledge of all products and services.
• Run point on ad campaign launches, guiding customers through the process while managing communication across all teams internally.
• Provide regular reporting and updates on campaign performance, including QBR presentations.

Desired Experience: 

• 3+ years experience working in adtech or an agency role, managing online advertising campaigns for clients. 
• 2+ years experience in a client-facing role.
• Bachelor’s degree.
• A passion for customer service. You have a talent for anticipating customer needs and exceeding expectations. 
• A knack for multitasking and organization. You’re able to juggle everything from campaign launches to ad hoc requests across multiple clients.
• A data driven mindset. You’re comfortable organizing data in Excel and Powerpoint to present insights and recommendations to your clients.
• A positive, can-do attitude. You have a high level of motivation and are willing to learn.
• A determination and drive to succeed. You are resourceful, and have excellent analytical and problem solving skills.

Don’t meet every single requirement? At RTB House we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but unsure about every qualification, we encourage you to apply. We may have just the job for you.

The salary range for this role is $93,000 to $123,000 in base pay, and is exclusive of any bonuses or benefits.  The base pay offered will be determined on a case by case basis based on your experience, skills, training, certifications and education, etc., and will be informed by market data.

We Offer: 

YOUR WORKPLACE, YOUR CHOICE. We offer permanent remote work. Or in-office. Or a hybrid combination of both. Your choice. Do You! 

HAVE A VOICE. You will have a direct impact on the success of the company. Your work matters and is essential to the evolution, growth, and success of our business.

GROWTH. We prioritize your growth and career path with your goals and passions in mind, offer comprehensive and continuous training, and a stipend for external courses.

BENEFITS. Extensive benefits package including 100% coverage of your medical insurance premium, matching 401K plan, vacation days, sick days, office stipend, phone or internet stipend, baby cash, stipend for external training and more.

RECOGNITION. Performance bonus eligibility.

COMMUNITY. In-person and virtual events including coffee socials, happy hours, and off-site summits. You will get to work with amazing, inspiring, passionate people in one of the fastest growing sectors in online advertising.

Information on Equal Treatment Policies 

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

About the Team

At Roku, we embody the mentality of a sports team, becoming our strongest when we work together (cross functionally) to reach an end goal. The Client Marketing and Strategy team acts as the quarterback to sales, helping to build long term strategies and solutions that ultimately aid in revenue growth and deepen partnerships with priority accounts. In partnership with sales, we ensure our clients are constantly evolving to build successful CTV strategies, test and adopt new products, and build the future of TV together.

About the Role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on building a marketing and ad strategy that grows Roku’s advertising business.

As a Client Strategy Manager, you will be responsible for developing smart, brand-specific solutions that meet key business objectives. In addition to ideating best-in-class streaming campaigns, you will also partner with cross functional teams to ensure the strategies we’re proposing are going to perform. This role requires someone who can manage ambiguity, feel comfortable in the unknown, wear many hats, and lead with a solutions-oriented mindset, as they navigate this ever-changing, fast-paced environment. Not only will this Manager help partner with the Ad Sales team to drive revenue, but they will also help shape the future of streaming excellence in the CTV industry.

For New York Only - The estimated annual salary for this position is between $100,000 - $120,000 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

• Act as a partner to the Ad Sales team to aid in driving revenue and adoption of Roku’s offerings.
• Consistently deliver strategic solutions, leveraging Roku’s various ad products, content, measurement, targeting and data solutions to drive performance for our advertising partners.
• Leverage deep entertainment experience to develop new strategies to unlock ad dollars from both Brand Marketers and Performance Marketers.
• Merchandise Roku’s ability to be interoperable, democratizing programmatic partnerships to help unlock new revenue streams.
• Act as a consultant to our media and entertainment partners during annual planning conversations and MBRs.
• Present programs and custom solutions to key stakeholders internally and externally
• Partner with product teams to drive innovation based on client feedback and potential opportunities.
• Partner with Measurement and Account Management to develop learning agendas and identify strategies to deliver against a client’s goals.

We're Excited If You Have

• 3+ years of relevant CTV experience as marketer or brand strategist, with expertise in ad tech and a strong understanding of the media & theatrical marketing landscape.
• A rich understanding of the streaming, TV, digital, social, and programmatic advertising landscape and challenges brands face within each.
• Professional experience developing ad strategies for the Entertainment industry.
• Deep expertise crafting impactful and unique programs, designed to drive advertiser’s objectives as well as a positive consumer experience.
• An understanding of the importance of balancing the end user experience and the advertiser’s objectives.
• Track record of working cross functionally to problem solve and build processes to ensure a smooth activation process.
• Collaborative nature and track record of being an invaluable resource to sales teams.
• Experience with presenting to senior-level stakeholders, both internal and external.
• “No job is too big or too small” mentality -- you’re a long-term thinker and a short-term doer.
• College degree or equivalent

#LI-CU1

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

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

As a Support Engineer at CLEAR, you will be our first line of support to ensure our members and partners have a magical experience. You will work across our Business, Product, and Engineering teams to develop a deep understanding of the problems our partners are facing and help find the best path to resolving issues as they come up. We are looking for a candidate with a strong technical background who is able to dig into various issues to find the root cause & help build the process to make this a more efficient effort.

What you'll do:

• Respond to customer inquiries and support tickets, providing timely, clear, and empathetic assistance
• Diagnose and resolve technical issues related to CLEAR’s platform, APIs, and integrations by asking effective questions and analyzing data
• Create a knowledge base and playbooks of how to effectively resolve common issues
• Collaborate with internal teams to escalate and triage complex technical issues, ensuring a seamless resolution process
• Record and communicate bug reports, feature requests, and enhancement ideas to the product and engineering teams

How you'll measure success:

• Ticket resolution time, first-response time, and customer satisfaction (CSAT) scores from support interactions
• Number of new or updated knowledge base articles, FAQs, and customer-facing documentation that reduce repeat inquiries
• Efficiency of issue escalation and resolution, feedback from engineering and product teams, and contributions to process improvements
• Customer surveys, internal team feedback, and qualitative insights from stakeholders on the effectiveness of support interactions and solutions

What you're great at:

• You have experience working in a customer-facing role, ideally in a technology-focused environment
• You are technically proficient, with experience working with APIs and basic programming concepts (e.g., JavaScript, HTML, CSS)
• You possess strong communication skills and can explain technical concepts in an accessible way for diverse audiences
• You have a problem-solving mindset with the ability to think critically and prioritize effectively
• You have a passion for learning new technologies and continuously improving your technical and customer service skills

How You'll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $100,000.00 - $140,000.00, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

Position Overview

We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Director of GTM Operations is a critical, strategic partner to the SVP Commercial FP&A and Operations and the Chief Customer Officer (CCO). You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential.

Key Responsibilities:

Commercial Strategy and Growth

• Partner with the CCO and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets
• Translate complex data into actionable recommendations for Commercial leaders
• Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity

Forecasting & Pipeline Management

• Own and evolve the global sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments.
• Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes.
• Deliver consistent reporting on performance-to-plan, win/loss trends, and funnel dynamics

GTM and Sales Efficiency

• Drive operational excellence by refining core sales processes, methodologies, and business cadences (e.g., territory management, forecasting, and pipeline reviews)
• Implement a standardized sales methodology, with clear stage definitions, qualification criteria, and progression benchmarks across segments
• Build and maintain reporting frameworks, dashboards, and KPIs to provide actionable insights into pipeline health, sales performance, and revenue forecasting

Territory Management

• Lead territory design, ensuring sales coverage aligns with market opportunities and business objectives
• Continuously optimize territory assignments and GTM approaches based on performance data and growth trends

Qualifications: 

• 10+ years of experience in Revenue Operations, Commercial Strategy, or Go-to-Market Operations, with at least 2 years in a senior leadership role.
• Proven experience partnering directly with CROs, CFOs, and executive leadership to design and execute multi-year commercial plans.
• Deep expertise in Salesforce, Outreach, Gong, and other GTM tools.
• Strong analytical skills and fluency with forecasting, funnel metrics, sales velocity, and retention/expansion KPIs.

• Demonstrated success in improving sales productivity, enhancing marketing performance, and supporting customer success initiatives

• Experience designing sales methodologies and commercial processes that scale in B2B SaaS
• Comfort working cross-functionally and influencing without authority — excelling at aligning diverse stakeholders around common goals.
• High EQ, clear communication skills, and a strong sense of ownership.

#LI-PB1

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

As CLEAR continues to scale, we’re deepening our investment in the data ecosystem that powers our decision-making. We’re looking for a Senior Analytics Engineer, Business Intelligence to own the presentation layer of our data stack. This is a hands-on, senior individual contributor role for someone who blends exquisite data modeling craft, deep familiarity with tools like dbt and Looker, a knowledge of the state of the art, and a passion for designing data structures that enable intuitive self-service. 

You’ll define the semantic and analytical layers that drive clarity across the business, transforming complex data into clear, trusted metrics and models that everyone at CLEAR can rely on.

What You'll Do:

• Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR. Develop metrics that drive a consistent, opinionated view of business performance across Finance, Product, Marketing, and Operations teams.
• Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices.
• Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models. 
• Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions.
• Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement.

What you’re great at:

• 6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment.
• Expert-level SQL: you can structure models for clarity, reuse, and performance at scale. 
• Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker.
• Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics.
• Strong understanding of dimensional modeling and data warehousing principles. You are always thinking about performance and scalability.
• Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood.
• Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own.
• Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions.
• Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered.

Why You’ll Love This Role:

• High-impact: You’ll build the analytics foundations that will guide decision-making across CLEAR.
• Craft and influence: This role blends technical ownership with the opportunity to shape how data is understood company-wide.
• Mission-driven culture: You’ll help build experiences that make life simpler and more secure for millions.
• Autonomy: You’ll own and lead initiatives end-to-end, mentor others, and establish best practices that scale with the company.
• Culture that moves: We are a team that values curiosity, iteration, direct feedback, and risk taking.
• Great benefits & growth: Competitive compensation, liquid equity, catered lunches, and good vibes.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The total compensation range for this role is $225,000-$300,000, depending on levels of skills and experience.

This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Position Overview

The Director of RMBS Trading & Residential Credit Investing is responsible for leading residential mortgage-backed securities (RMBS) trading, whole loan trading, and private residential credit investment initiatives. This role oversees portfolio management, sourcing, pricing, structuring, and execution across a broad range of residential credit asset classes. The Director drives relative value analysis, develops proprietary analytical tools, manages junior team members, and partners cross-functionally to deliver attractive risk-adjusted returns.

Key Responsibilities

RMBS Trading & Portfolio Management

• Manage and actively trade multi-sector RMBS portfolio, including agency, non-agency, CRT, NPL/RPL, and other structured credit subsectors.
• Conduct relative value analysis, performance surveillance, and risk monitoring across holdings.
• Source and evaluate market opportunities, maintaining relationships with buy-side and sell-side counterparties.
• Develop and enhance internal pricing models and analytical frameworks to support trading decisions.
• Oversee portfolio analytics, scenario analysis, and performance attribution.
• Build loan-level pricing models incorporating prepayment, default, severity, and rate assumptions.
• Manage and mentor junior team members responsible for modeling and portfolio surveillance.
• Manage acquisition and disposition of whole loan asset classes
• Coordinate transaction execution with legal, transaction management, counterparties, and servicers.
• Prepare and present detailed investment committee memoranda outlining return expectations, risk factors, and sensitivities.

Risk Analytics & Process Development

• Design and implement robust portfolio monitoring and delinquency tracking frameworks.
• Develop expected loss modeling and pricing optimization tools.
• Collaborate with middle and back-office teams to design underwriting and operational processes.

Qualifications

• Bachelor’s degree in Economics, Finance, Mathematics, Statistics, or related quantitative field; strong academic record required.
• 7+ years of experience in RMBS trading, whole loan trading, residential credit investing, structured products, or mortgage analytics.
• Deep knowledge of residential mortgage products, securitization structures, and credit performance drivers.
• Strong financial modeling skills (loan-level cash flow modeling, scenario analysis, yield and spread analysis).
• Experience presenting investments to Investment Committees.
• Demonstrated ability to manage portfolios and drive P&L performance.
• Strong negotiation and cross-functional collaboration skills.
• Prior team leadership or analyst management experience preferred.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Role Summary

• The Hedging Leader at NLG Capital is responsible for designing, implementing, and overseeing the hedging framework and activity for the company’s insurance and reinsurance operations. This is a critical leadership role that sits at the intersection of investments, risk management, and actuarial strategy. The position requires deep expertise in hedging and derivative strategies, specifically index and product related design, combined with the ability to lead a team and collaborate across functions to ensure effective risk management, capital efficiency, and alignment with the firm’s long-term objectives.

Essential Duties and Responsibilities

• Develop and implement a scalable hedging program to manage market, interest rate, and option risks across NLG’s insurance companies.
• Oversee day-to-day hedging operations, starting with static hedging programs and evolving toward dynamic overlays as business and asset volumes increase.
• Monitor and report on hedge effectiveness, including metrics such as value-at-risk, hedge P&L attribution, and capital impacts.
• Partner with investment, actuarial, and finance teams to design and execute hedging strategies for new products, M&A, and reinsurance deals—including FX hedging and in force risk management.
• Optimize collateral and capital efficiency associated with hedging activities.
• Build and lead a high-performing team of 2–3 professionals responsible for hedge execution, reporting, and analytics.
• Collaborate with actuaries, distribution partners, and banking counterparties on the development and launch of new FIA and RILA products, including custom and indexed-linked strategies.
• Work with corporate finance and actuarial valuation teams to support projections, capital planning, and stress testing.

Minimum Qualifications

• Proven track record of successfully designing and implementing hedging programs in insurance or reinsurance contexts.
• Broad understanding of life and annuity products, including IUL, FIA, MYGA and RILA.
• Strong ability to communicate complex hedging strategies simply and effectively to diverse stakeholders.
• Experience balancing risk management and capital efficiency objectives.
• Strong technical proficiency, including Microsoft Office (Excel, Word, PowerPoint); experience with quantitative tools preferred.
• Self-motivated with demonstrated excellent leadership, collaboration, and communication skills.
• Actuarial, quantitative finance, or CFA background preferred but not required.
• This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week during onsite core days. The work schedule type and core days are subject to change with advance notification and manager discretion.

Preferred Qualifications

• Experience with U.S. statutory accounting, GAAP, insurance regulatory and actuarial guidelines.
• Experience managing collateral and counterparty relationships.
• Prior leadership of derivatives or hedging teams in an insurance or asset management setting.

About Us

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team.  They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision.  We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.  Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

Role Summary

• The Senior Hedging Trader at NLG Capital is responsible for execution and implementation of the hedging program for the company’s insurance and reinsurance operations. This is a critical role that sits at the intersection of investments, risk management, and actuarial strategy. The position requires deep expertise in hedging and derivative strategies, combined with the ability to play a senior role within the hedging team working with the Head of Hedging and the broader NLG Capital investment team to ensure effective risk management, capital efficiency, and alignment with the firm’s long-term objectives.

Essential Duties and Responsibilities

• Facilitate day-to-day hedging transaction management within the stated goals of the organization, within risk limitations and in conjunction with the broader resources of the organization.
• Monitor and report on hedge effectiveness, including metrics such as value-at-risk, hedge P&L attribution, and capital impacts.
• Partner with investment, actuarial, and finance teams to design and execute hedging strategies for new products, M&A, and reinsurance deals—including FX hedging and inforce risk management.
• Optimize collateral and capital efficiency associated with hedging activities.
• Collaborate with actuaries, distribution partners, and banking counterparties on the development and launch of new FIA and RILA products, including custom and indexed-linked strategies.
• Work with corporate finance and actuarial valuation teams to support projections, capital planning, and stress testing.

Minimum Qualifications

• Proven track record of successfully designing and implementing hedging programs in insurance or reinsurance contexts.
• Broad understanding of life and annuity products, including FIA and RILA.
• Strong ability to communicate complex hedging strategies simply and effectively to diverse stakeholders.
• Experience balancing risk management and capital efficiency objectives.
• Strong technical proficiency, including Microsoft Office (Excel, Word, PowerPoint); experience with quantitative tools preferred.
• Self-motivated with excellent leadership, collaboration, and communication skills.
• Actuarial, quantitative finance, or CFA background preferred but not required.
• This position currently offers an onsite hybrid work schedule, with the expectation that you are in the office four days per week. The work schedule type and core days are subject to change with advance notification and manager discretion.

Preferred Qualifications

• Familiarity with U.S. statutory accounting, GAAP, and actuarial guidelines.
• Experience managing collateral and counterparty relationships.
• Prior leadership of derivatives or hedging teams in an insurance or asset management setting.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As an Agency Development Manager on the Agency Development team, you'll execute and support Taboola's North American agency development strategy, working closely with our Director of Agency Development to build and deepen strategic partnerships across your assigned portfolio of US holding companies and independent agencies. 

You'll own and grow senior relationships at the practice area and director level—engaging trading desk leads, programmatic heads, and department leadership—to champion Taboola's value and work hand-in-hand with our sales teams to make agencies true believers in performance advertising beyond search and social. 

This role operates upstream of individual campaigns and accounts, focusing on influencing agency strategy, education, and partnership at scale rather than direct deal execution. This is a high-impact, externally facing role for someone who thrives on building influential relationships and turning them into measurable business outcomes.

To thrive in this role, you'll need:

• 6+ years of experience in digital advertising at a top-tier technology or media company, with a strong focus on agency development
• Established relationships with directors and VPs at major US agency holding companies and their subsidiaries, spanning multiple practice areas 
• Deep knowledge of the agency ecosystem — how holding companies, trading desks, and agency brands operate, plan, and buy media
• A track record of driving revenue growth and business impact through strategic agency partnerships, rather than direct account-level selling
• An ambitious entrepreneurial mindset. A love of building relationships and executing strategy
• Deep understanding / fluency of how to integrate digital tech companies into agency buying and operating systems
• Comfort with frequent travel (typically 2+ domestic trips per month for 1-2 nights, with occasional longer trips)

Bonus points if you have:

• Experience working closely with programmatic or performance-focused agency buyers at major holding companies and independent agencies
• Experience in a fast-paced, high-growth environment where you've helped build processes and strategy

How you'll make an impact:

• Own and grow Taboola's relationships with your assigned US agency holding companies & independents, trading desks, and key agency subsidiaries, serving as the primary point of contact and strategic partner
• Map and engage agency organizations at the practice area level—building relationships across trading desk leadership, programmatic heads, and key decision-makers within your portfolio
• Drive agency enablement through trainings, demo days, workshops, and strategic roadshows—educating stakeholders on Taboola's platform capabilities and positioning Taboola as a core partner across the agency ecosystem
• Partner with agencies on cobranded marketing, thought leadership, tentpole activation, and event activations within your portfolio
• Collaborate closely with Taboola's sales teams to connect agency relationships to the right opportunities, helping convert agency enthusiasm into measurable revenue outcomes
• Support commercial agreements (e.g., trading agreements, incentive structures, rate cards) where they meaningfully advance strategic partnerships and revenue growth
• Gather market intelligence and relay agency feedback to internal teams — including product, marketing, and GTM — to continuously sharpen Taboola's agency offering
• Represent Taboola at key industry events and in the broader agency community, working to turn around legacy perceptions of Taboola by taking a proactive approach on reeducation

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-RT1

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As an Agency Development Manager on the Agency Development team, you'll execute and support Taboola's North American agency development strategy, working closely with our Director of Agency Development to build and deepen strategic partnerships across your assigned portfolio of US holding companies and independent agencies. 

You'll own and grow senior relationships at the practice area and director level—engaging trading desk leads, programmatic heads, and department leadership—to champion Taboola's value and work hand-in-hand with our sales teams to make agencies true believers in performance advertising beyond search and social. 

This role operates upstream of individual campaigns and accounts, focusing on influencing agency strategy, education, and partnership at scale rather than direct deal execution. This is a high-impact, externally facing role for someone who thrives on building influential relationships and turning them into measurable business outcomes.

To thrive in this role, you'll need:

• 6+ years of experience in digital advertising at a top-tier technology or media company, with a strong focus on agency development
• Established relationships with directors and VPs at major US agency holding companies and their subsidiaries, spanning multiple practice areas 
• Deep knowledge of the agency ecosystem — how holding companies, trading desks, and agency brands operate, plan, and buy media
• A track record of driving revenue growth and business impact through strategic agency partnerships, rather than direct account-level selling
• An ambitious entrepreneurial mindset. A love of building relationships and executing strategy
• Deep understanding / fluency of how to integrate digital tech companies into agency buying and operating systems
• Comfort with frequent travel (typically 2+ domestic trips per month for 1-2 nights, with occasional longer trips)

Bonus points if you have:

• Experience working closely with programmatic or performance-focused agency buyers at major holding companies and independent agencies
• Experience in a fast-paced, high-growth environment where you've helped build processes and strategy

How you'll make an impact:

• Own and grow Taboola's relationships with your assigned US agency holding companies & independents, trading desks, and key agency subsidiaries, serving as the primary point of contact and strategic partner
• Map and engage agency organizations at the practice area level—building relationships across trading desk leadership, programmatic heads, and key decision-makers within your portfolio
• Drive agency enablement through trainings, demo days, workshops, and strategic roadshows—educating stakeholders on Taboola's platform capabilities and positioning Taboola as a core partner across the agency ecosystem
• Partner with agencies on cobranded marketing, thought leadership, tentpole activation, and event activations within your portfolio
• Collaborate closely with Taboola's sales teams to connect agency relationships to the right opportunities, helping convert agency enthusiasm into measurable revenue outcomes
• Support commercial agreements (e.g., trading agreements, incentive structures, rate cards) where they meaningfully advance strategic partnerships and revenue growth
• Gather market intelligence and relay agency feedback to internal teams — including product, marketing, and GTM — to continuously sharpen Taboola's agency offering
• Represent Taboola at key industry events and in the broader agency community, working to turn around legacy perceptions of Taboola by taking a proactive approach on reeducation

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-RT1

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We are seeking a strategically-minded, technology-focused, and customer-centric Engineering Manager to lead one of our Infrastructure teams here. You will lead a team responsible for building, operating, and scaling the cloud infrastructure and platform systems that underpin CLEAR’s services, ensuring reliability, performance, and security across our environments.

A successful candidate brings strong experience in cloud infrastructure, distributed systems, and operational excellence, along with a solid foundation in software engineering. You are an effective communicator who can lead complex infrastructure initiatives from inception through delivery, and thrive in fast-paced environments. This role requires a focus on building resilient, scalable systems, driving automation, and leading and developing high-performing engineering teams.

What you'll do:

• Hire, develop, and grow engineering talent through coaching, mentorship, performance management, and career development planning
• Set clear goals and expectations, provide regular feedback, and foster accountability across the team
• Own and execute the roadmap for cloud infrastructure and platform engineering, and reliability initiatives
• Design, build, and operate a scalable, secure, and highly available cloud platform infrastructure
• Drive automation across infrastructure provisioning, deployment, and operations to improve efficiency and reduce manual overhead
• Establish and enforce best practices for system reliability, observability, incident response, and disaster recovery
• Partner with engineering teams to improve deployment pipelines, service operability, and production readiness
• Provide technical leadership, making clear architectural decisions and communicating trade-offs, risks, and impacts
• Own operational excellence through metrics, SLAs/SLOs, and continuous improvement of system performance, reliability, and cost

What you're great at:

• 3+ years of experience managing and developing software engineers, with strong coaching and team leadership skills
• Strong experience with CI/CD systems, infrastructure automation, and release engineering
• Deep knowledge of cloud platforms (e.g., AWS) and distributed systems architecture
• Hands-on experience with Infrastructure as Code (e.g., Terraform, Pulumi)
• Strong expertise in Kubernetes and container orchestration at scale
• Experience designing for high availability, fault tolerance, and operational resilience
• Proficiency in at least one modern programming language (e.g., Python, and or Java) and solid software engineering fundamentals
• Experience with observability tooling (monitoring, logging, tracing) and incident management practices
• Ability to collaborate cross-functionally and influence teams to adopt infrastructure and operational best practices
• Strong interpersonal, communication, and stakeholder management skills
• Curious, proactive, and committed to continuous learning and improvement

How You’ll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The total compensation range for this role is $275,000-$350,000, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

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

The Product Outcomes team translates product → jobs to be done → workflows → outcomes. We partner across Product, the Customer Office, and CS to ensure every new capability becomes a lever for customer impact, not just a feature launch.

As the Sr. Manager, Product Outcomes, you will lead the team responsible for bridging the gap between product innovation and customer value realization. You will define the strategy, operating model, and cross-functional partnerships that ensure Gong’s most strategic product investments translate into measurable business outcomes for customers.  This role requires a highly autonomous leader who can operate effectively in ambiguity, proactively identify opportunities, build structure where it does not yet exist, and influence senior stakeholders across Product and GTM teams.

RESPONSIBILITIES

• Lead, coach, and develop a team of Product Outcomes Managers, setting clear priorities, success metrics, and accountability for impact.
• Define and evolve the Product Outcomes team strategy, operating model, and repeatable frameworks for translating product capabilities into jobs-to-be-done, workflows, and measurable outcomes.
• Own product-line adoption measurement and improvement across the Product Outcomes team, including defining adoption KPIs, identifying trends and gaps, and partnering cross-functionally to drive measurable improvement.
• Partner closely with Product leadership to help influence roadmap decisions through customer feedback, beta insights, adoption data, and outcome-based recommendations.
• Drive cross-functional alignment across Product, PMM, Enablement, Solution Engineering, Customer Success, Support, Professional Services and Value Engineering to ensure product launches are set up for adoption and customer impact.
• Oversee beta program strategy for strategic launches, including customer selection, success criteria, feedback loops, risk management, and GA readiness.
• Identify patterns across customer use cases, product adoption challenges, feedback, and enablement gaps; turn those insights into scalable solutions.
• Establish clear measures of success for Product Outcomes work, including adoption, value realization, customer health, retention, and ARR influence.
• Operate with a high degree of autonomy, proactively identifying gaps, prioritizing the highest-impact opportunities, and driving initiatives from strategy through execution.

QUALIFICATIONS 

• 10+ years of experience in SaaS, technology, Product, Customer Success, Solutions Consulting, GTM Operations, or related functions.
• 3+ years of people management experience, with a track record of building, coaching, and developing high-performing teams.
• Experience partnering closely with Product teams and influencing product strategy, roadmap priorities, or launch readiness.
• Strong cross-functional leadership skills, with proven ability to influence senior stakeholders and drive alignment without direct authority.
• Demonstrated ability to operate independently in ambiguous, fast-moving environments and create structure, clarity, and momentum.
• Deep understanding of how product capabilities translate into customer jobs-to-be-done, workflows, adoption, and measurable business outcomes.
• Strong systems thinker with experience building scalable frameworks, operating models, or methodologies to solve complex business problems.
• Data-driven mindset with experience defining success metrics, analyzing adoption or usage trends, and turning insights into action.
• Strong understanding of revenue operations, sales workflows, customer success motions.
• Exceptional communication and executive presence, with the ability to build credibility with Product, GTM, Customer teams, and senior leaders.

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 annual salary hiring range for this position is $138,000-$210,000  

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.

#LI-AM1

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.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

Benefits is a core expression of how we support Ants and their families, now and over the arc of their lives. Our Benefits function has scaled to a global program covering thousands of employees across multiple regions in just over two years, and we are now adding additional depth to match that breadth.

We are hiring a senior individual contributor to anchor a major piece of our global program. The role is shaped to fit the strongest candidate's regional expertise. You will primarily own one of two scopes:

• Americas: US health and welfare strategy, leading our evaluation of a potential move to self-funding, owning our Canada program, and stewarding readiness to extend benefits across the Americas as our footprint grows.
• International: End-to-end international benefits ownership across EMEA and APAC, leading new entity launches and managing the full program lifecycle in regions where Anthropic has a growing presence.

Both versions of this role share the same level, the same reporting line, and the same core competencies. We will identify which scope fits best during the interview process based on where your hands-on experience and strongest interests lie.

This is a builder role. You will design programs where infrastructure does not yet exist, run broker selections, negotiate carrier terms, and stand up audit-ready operations across multiple jurisdictions.

You will report to the Head of Benefits and partner closely with our Senior Benefits Partner.

Key responsibilities

Regardless of regional anchor, you will:

• Own end-to-end benefits program management for your region, including design, vendor selection, broker management, implementation, renewals, and the day-to-day employee experience
• Manage carrier and vendor relationships, holding them accountable to contracted service standards
• Partner with Payroll, People Operations, Legal, and Finance to keep programs compliant, well-administered, and auditable
• Triage and resolve escalations across time zones, including carrier disputes and claims advocacy
• Draft clear, compliant employee-facing communications for enrollment, renewals, and policy changes
• Bring benchmarking and market intelligence to bear on program design, with a clear point of view on what Anthropic should do, not only what the market does

If you anchor in Americas, you will additionally:

• Own US health and welfare program strategy across medical, dental, vision, life, disability, and ancillary lines
• Run the full annual US renewal cycle, including market strategy, carrier negotiations, and open enrollment execution
• Lead the evaluation and potential transition to self-funding, partnering with Finance on stop-loss structure, claims forecasting, and reserve modeling
• Own our Canada benefits program end-to-end, including renewals and provincial compliance
• Steward Anthropic's readiness to launch in additional Americas markets as our footprint grows
• Build finance-facing reporting: monthly claims analysis, PEPY and PEPM tracking, budget versus actual, and forward-looking projections in partnership with FP&A
• Own US compliance operations: ACA, ERISA, Section 125, non-discrimination testing, 5500 filings, and audit readiness

If you anchor in International, you will additionally:

• Lead end-to-end launches in new entity countries, from local-market scoping and broker selection through carrier negotiation, employee communications, and go-live
• Own the Benifex global platform rollout for assigned countries and ensure clean integration with Workday as the system of record
• Manage statutory and supplementary benefits across multiple EMEA and APAC markets, including pension, GLTD, GPA, and country-specific health and welfare programs
• Partner with the Head of Benefits to shape the international roadmap

Minimum qualifications

• Direct experience launching, redesigning, or financially stewarding a benefits program at scale
• Strong vendor and broker management skills, with a track record of holding carriers and brokers accountable to contracted terms
• Strong written communication and the ability to make nuanced tradeoffs legible to non-benefits stakeholders
• Comfort operating in ambiguity and building infrastructure where none exists

Preferred qualifications

• 7+ years of benefits experience, with deep regional ownership in either US health and welfare (with bonus for Canada) or international markets across EMEA and APAC
• A track record of using AI tools to make benefits operations, employee self-service, or stakeholder communications materially better
• Strong instincts for benefits as a strategic lever within total compensation, not as an operational cost center
• Cross-regional exposure beyond your primary anchor (e.g., a US benefits leader who has also stood up programs in Canada or internationally, or an international benefits leader who has owned US health and welfare for a US-headquartered company)
• Direct experience supporting or leading a self-funding transition
• Fluency with Workday and global benefits administration platforms (Benifex, Darwin, or similar)
• A track record of building benefits programs that hold up under audit, controls review, and external scrutiny

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

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

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.

Role summary

Scale’s Operations Planning Team sits at the intersection of Engagement Management (EM), GenAI Delivery, GTM, and Growth Ops. The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts. As a TPM on Planning you will own program-level planning and systems workstreams that translate demand into reliable production plans, validate staffing, and ensure opportunities move through ingest accurately. This role combines program management, operational rigor, analytics literacy, and strong stakeholder management, with the goal of making account planning predictable, auditable and scalable.

This is a role designed to build deep account knowledge: each Planning TPM will ultimately be assigned to support 1–2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting.

What you’ll own (key responsibilities)

Demand Forecasting

• Ensure project-level customer demand is captured accurately, consistently and at the right level of granularity.
• Own day-to-day monitoring and execution of Production Plan and Opportunity Forecast; act quickly on demand changes.
• Partner with Supply Ops to review the Production Plan weekly (PP, TCD, historical productive hours) and drive forecasting accuracy and adjustments.
• Surface forecast risks and coordinate tactical interventions through the Ops Planning leads.

Staffing & Resource Planning

• Create/validate staffing requests and communicate staffing changes to Delivery teams, STOs and EMs.
• Monitor account-level FTE budgets and employee spend; contribute to cost/benefit analysis of staffing vs. revenue.
• Stress-test staffing scenarios to provide early warnings on headcount risks and to inform hiring / reallocation decisions.
• Validate staffing tracking accuracy weekly; identify and correct discrepancies in project-level staffing data.

Opportunity Forecast & Ingest

• Ensure all revenue-generating opportunities are correctly logged in Opportunity Ingest (Linear) and that scoping is consistent.
• Act as the owner for opportunities as they move through the ingest workflow — expedite translation of demand signals into the forecast (Airtable / PP / OF).
• Run weekly checks to confirm Opportunity Forecast accuracy, and coordinate tactical scoping fixes when needed.

Account Intelligence & Systems Enablement

• Actively participate in core account meetings (ops, finance, GTM, delivery) as the Ops demand operational lead.
• Design, build and maintain scalable planning tools and account-level reporting artifacts (ramp planning sheets, account dashboards, account playbooks).
• Standardize and centralize information flow across customer ops pillars (demand forecasting, staffing, opportunity ingest).
• Drive systems enablement, process documentation (SOPs), and handoffs that reduce manual work and increase reliability.

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.

• 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.

• 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.

• 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.

• 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

• Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments. 

• 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).

• 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.

• 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.

• 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.

• 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.

• 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

• 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.

• 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.

• 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.

• 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.

• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.

• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.

• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it

• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic

• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity

• 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.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

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

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

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 

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 Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

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

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

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

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

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

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

We are building a Brand team designed for the speed, scale, and ambition of an AI-era business. Our operating model is structured around two modes: infrastructure work that scales creative capability across the company, and craft work where the full team comes together around the initiatives that define us. As Senior Director, Creative, you will set and uphold the creative standard across both modes, leading design, video, and copy as a unified, high-performing system. You will bring clarity to ambiguity, shaping strong creative direction in fast-moving, cross-functional environments. Partnering closely with Creative Operations, you will ensure creative vision and execution move in lockstep, enabling the team to deliver high-quality, impactful work at pace while continuously evolving the brand.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Set and uphold the creative standard across design, video, and copy, defining what high-quality work looks like across all initiatives
• Lead and develop people managers and Discipline Leads, elevating their thinking, strengthening craft, and growing the next generation of creative leadership
• Drive the evolution of the Datadog brand, shaping visual language, storytelling, tone, and point of view across channels
• Provide clear, confident creative direction in ambiguous or fast-moving environments, guiding teams toward strong, cohesive outcomes
• Elevate work across disciplines through precise, actionable feedback and strong creative judgment
• Partner closely with Creative Operations to align creative vision with resourcing, workflows, and AI-powered systems that enable execution at scale

Who You Are:

• Strong creative point of view with the ability to define and communicate high standards across design, video, copy, and emerging AI-enabled formats
• 15+ years of experience in leading cross-disciplinary creative teams and aligning multiple craft areas under a cohesive vision
• Proven ability to develop and mentor creative leaders, scaling impact through others rather than individual output alone
• Deep understanding of how creative work is produced, with an appreciation for operations, systems, and scalable workflows
• Leads how AI is integrated into creative work, using it as a creative lever to expand output and scale, while setting clear standards for where human craft remains non-negotiable
• Able to translate ambiguity into clear creative direction, providing specific, actionable feedback that elevates work across disciplines while balancing consistency and evolution of the brand

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Why Hover wants you

Hover's Customer Experience team is at an inflection point. We've built an exceptional foundation — industry-leading response times, strong CSAT, and a BPO (outsourced) model that handles significant volume. But the next two years require a step change: usage and case volumes are growing quickly, and our vision is that AI will grow to handle 50%+ of total volume.  This requires extensive work across systems, knowledge infrastructure, etc.

Your role will be to build and run our ‘agent team’ alongside our human specialist teams, growing its coverage of our cases to that 50%+ goal and thus preserving our human team’s time and attention to focus on the kinds of cases and situations where their deep expertise and attention is needed.  If you've done 0-to-1 work before, have strong opinions about what good AI QA looks like, and care deeply about how knowledge infrastructure feeds intelligent systems — this is your role.

Our Inbound CX team handles thousands of support conversations per week across phone, chat, and email, serving both self-serve (Product Led Growth) and enterprise (Sales Led Growth) customers. The team includes US-based Senior Specialists who handle our most complex and relationship-critical cases and offshore BPO teams that handle the majority of inbound volume.

You will work in close partnership with GTM Systems Engineering, Analytics Engineering, Revenue Enablement, and other cross functional teams to get the assistance you need building out the knobs and levers that help you run this ‘agent team’ day to day and hit our core operational KPIs.

You will contribute by

This is a rare 0–1 opportunity to define how Hover scales customer experience through AI. You’ll own the full automation roadmap and build systems that directly impact how thousands of customers get help every week.

Some of your core responsibilities include:

• Own the team’s customer-facing agentic bot end-to-end: prompt refinement, escalation logic, routing rules, and ongoing QA calibration
• Design and iterate on human-in-the-loop (HITL) workflows that combine AI-drafted responses with rep review and editing
• Build and maintain Hover's knowledge infrastructure: Guru internal KB, AI-ready support articles, BPO onboarding materials, and documentation standards
• Lead LLM tooling strategy for CX: evaluate tools, configure integrations, and deploy solutions that improve response quality and reduce manual effort
• Define, instrument, and report on all AI performance KPIs: deflection rate, AI CSAT, escalation accuracy, HITL quality score, and KB coverage
• You will act as the connective layer across CX, Engineering, GTM Systems, and Analytics—translating customer needs into scalable AI systems
• Enable BPO and US Specialist teams to work effectively alongside AI tools — training, documentation, and ongoing calibration

Your background includes

• 4+ years of experience in Customer Experience, Support, or Operations
• Day to day building experience with complex AI/LLM powered workflows – prompt and context engineering, data structures, knowledge management, integrations, evaluations, etc.
• Deep experience in the ‘customer support’ world, whether having been a rep yourself, led teams of reps, or partnered extensively for years in a closely supporting manner (engineering, analytics, operations, etc.)
• Experience navigating systems integrations, including comfort working with APIs, webhooks, and the connective tissue between SaaS platforms
• Hands-on QA and Eval experience — you know what good looks like, you can define rubrics, and you can calibrate teams against them
• Data fluency & analytical toolkit — comfortable pulling reports, defining metrics, and using data to make the case for what to build next
• Strong communication skills — you can explain AI systems and their tradeoffs to non-technical stakeholders, and you work fluidly across CX, Engineering, and BizOps

Nice to have

• Direct experience with Intercom, Fin bot, or similar AI-first support platforms
• Experience with Guru or similar internal knowledge tools
• Background in BPO or offshore CX environments
• Familiarity with Salesforce as a data source for CX routing and personalization

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy 
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $132,000 - $163,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#LI-RH1 #LI-Hybrid

The Role

We are currently seeking an Enterprise Sales Engineer to join our team. As the key  resource throughout our sales process, you will be leading presentations with C-Suite, advisor and other key stakeholders showcasing how Addepar’s vertically integrated platform solves complex financial challenges. You bring a deep knowledge of financial software to help our prospects and large relationships contextualize the Addepar solution fit. 

You will work with our Account Executives to drive the technical side of the sales cycle, focusing on AI-driven workflows and data integration. Internally, you will work with teams to ensure our prospects are abreast of the product development, workflows, and use cases at Addepar. You are an inspirational leader where other internal teams can rely on and prospects seek guidance from! 

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $122,000 - $153,000 (base salary) + bonus + equity + benefits. 

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• Strategic Domain Expertise: Serve as the primary domain expert, supporting account executives throughout the entire sales and relationship expansion lifecycle
• Platform & AI Evolution: Guide existing clients through the modernization of their workflows. You’ll demonstrate how migrating to a platform or adopting Addepar’s AI-powered insights creates a vertically integrated ecosystem that outpaces their current setup
• Technical Discovery: Conduct deep-dive discovery sessions to understand prospect requirements and map them to Addepar’s technical solutions
• Demo Construction: Design and build tailored demo environments, run end-to-end proof-of-concepts including the ingestion of client data to showcase the platform's value
• Enterprise Account Growth: Lead technical executive reviews and expansion executions for our largest existing relationships, identifying and delivering new platform value that directly drives incremental ARR
• Technical Sales Support: Manage the technical portions of the sales cycle, including responding to RFPs/RFIs and coordinating with internal product and engineering teams

Who You Are

• Experience: 3+ years in Sales Engineering or Solutions Architecture, with a proven track record of supporting both initial sales and large-scale account expansions
• AI Specialist & Champion: Strong proficiency in AI-driven software and data ecosystems. You are comfortable supporting the pitch of AI use cases to external partners and act as an early adopter of new AI tools internally. You can articulate the value of "data strategy" and "operational efficiency" to various stakeholders and help your peers integrate AI-first workflows into their daily routines
• Executive Presence & Leadership: You possess the confidence to guide high-stakes technical engagements and the experience to lead executive reviews for senior stakeholders at multi-billion dollar firms
• Hands-on Technical Execution: You are a "roll-up-your-sleeves" practitioner. You can jump into the weeds of data architecture and managed database workflows one hour, and then pivot to a high-level strategic pitch the next
• Investment Management Domain Expert: You possess a robust understanding of global financial markets and a broad spectrum of asset classes (from equities and fixed income to complex alternatives). This allows you to navigate high-stakes conversations with sophisticated buyers at large multinational firms, speaking their language fluently, while building immediate credibility
• Revenue-Minded Engineer: You see the technical journey as a means to a business end. You are intellectually curious and equally skilled at connecting technical milestones to tangible business value and ARR growth throughout the entire lifecycle of a relationship
• Data Lakehouse: understanding of workflows embedded and concept of integrating complex data sets are a plus
• Education: Bachelor’s Degree required while other certifications such as the CFA, CFP and Masters Degree are a plus
• Travel: Flexibility to travel on short notice (10-20%)

Role Description

Your North Star: build irreplaceable relationships with Pomelo’s health plan and employer customers, maximizing our opportunities to serve patients.

In this role, you will:

• Serve as the primary point of contact and trusted advisor for Pomelo’s customers, developing strong relationships and a deep understanding of their business and member needs
• Proactively engage with customers to ensure seamless implementations and deliver an ongoing best-in-class customer experience
• Advocate for strategic customer needs and feedback internally, and work cross-functionally with other teams to achieve outcomes and results for customers and Pomelo
• Develop and deliver regular business reviews with customers to identify areas for improvement, demonstrate Pomelo’s impact for patients and plans/employers, and drive customer retention
• Identify and mitigate risks, escalating critical customer issues to appropriate stakeholders and driving prompt resolution
• Collaborate closely with Pomelo partnership, marketing, and operations teams on strategic customer opportunities, including presentations, major enrollment campaigns, or other initiatives critical to Pomelo’s customer success
• Manage a Customer Success Manager, and develop a team strategic to drive forward progress for customers

Requirements

• 7-10 years of experience in consulting, customer success, or project management, with preferably 5+ years of health tech or healthcare experience and 2+ years managing a team
• Strong project management and creative problem solving experience, with a proactive, solution-oriented, and customer-focused mindset
• Proven experience leading projects and competing priorities across a range of external stakeholders and cross-functional internal teams
• Exceptional written and verbal communication skills
• Self-motivated and eager to thrive in a fast-paced metric-driven environment, with a track record of meeting or exceeding customer satisfaction, retention, and expansion goals
• Willingness and interest in using data and research to learn new content areas

Bonus points for

• Experience implementing solutions within health plans or employers, or experience managing health plan or employer relationships
• Experience working in a virtual care setting and/or with value-based care models

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup where you will have a profound impact on the patients we serve. And you'll learn, grow, be challenged, and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We value working across disciplines, moving fast, data-driven decision making, learning, and always putting the patient first. We also offer:

• Competitive healthcare benefits
• Generous equity compensation
• Unlimited vacation
• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is $160,000-$190,000 plus eligibility for the company's incentive plan. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.

About Axon 911

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

The Role

We are seeking a seasoned, strategic, and execution-oriented VP of Customer Success to lead and scale our Customer Success organization for Axon 911. This leader will be responsible for driving retention, expansion, and customer advocacy across a complex, highly relational public safety customer base.

Reporting to the Chief Customer Officer, this role will lead a team of senior leaders (Sr. Managers/Directors) who oversee Customer Success Managers (CSMs). You will play a critical role in shaping post-sale strategy, building durable executive relationships with agency leaders, and ensuring customers realize meaningful outcomes from Axon 911.

This is a highly visible role that blends operational rigor, revenue accountability, and mission-driven customer partnership. This is a hybrid role in our Manhattan office.

Why This Role Matters

This is not a traditional SaaS Customer Success role. Our customers rely on Axon 911 in life-critical situations. The VP of Customer Success will directly impact how emergency response systems operate—helping agencies save time, improve outcomes, and ultimately protect lives.

You’ll be joining a mission-driven organization where customer success is deeply tied to real-world impact.

What You’ll Do

Own Retention & Expansion Outcomes

• Lead the Customer Success organization with full accountability for Gross Revenue Retention (GRR) and Net Revenue Retention (NRR)
• Drive expansion pipeline generation in partnership with Sales, including upsell and cross-sell motions
• Establish forecasting rigor and proactively manage risk across the customer base

Lead & Develop a High-Performing Org

• Manage and develop a team of Sr. Managers/Directors who lead CSM teams
• Build scalable processes, playbooks, and operating rhythms across segments and geographies
• Elevate talent through coaching, performance management, and succession planning

Build Deep, Trusted Customer Relationships

• Engage directly with executive stakeholders across public safety agencies
• Navigate complex, long-term, relationship-driven customer environments
• Act as a senior escalation point and strategic partner for key accounts

Drive Customer Outcomes & Advocacy

• Ensure customers achieve measurable operational and mission-critical outcomes
• Build programs that convert satisfied customers into referenceable advocates
• Partner with Product and Implementation to continuously improve the end-to-end customer experience

Shape Company Strategy

• Serve as a key member of the Customer leadership team
• Provide voice-of-customer insights to influence product roadmap and go-to-market strategy
• Partner cross-functionally with Sales, Product, Support, and Implementation

What We’re Looking For

Required Experience

• Current VP-level leader with 5+ years operating at the VP level
• Proven track record managing senior leaders (Sr. Manager/Director level and above)
• Direct ownership of GRR and NRR in a scaled Customer Success organization
• Experience carrying or contributing to a pipeline generation target
• Success in managing a highly relational, enterprise customer base
• Exceptional executive communication and stakeholder management skills
• Based in or willing to work from New York City

Nice to Have

• Experience managing global Customer Success teams
• Background in public safety, government, or regulated industries

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

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

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Who are we hiring? 

The Senior Financial Analyst is responsible for the financial management of MSG Entertainment Live events, which includes concerts, family attractions, performing arts and special events, and across MSG Entertainment Theaters (Radio City Music Hall, Beacon Theatre and Chicago Theatre). 

What will you do? 

• Prepare labor and cost estimates, including rate card rents, for events across MSG venues to support MSG Live Booking executives in client deal negotiations.
• Track event costs and ensure accurate financial management throughout the event lifecycle.
• Review contracts and conduct settlements with promoters and artist representatives on event nights.
• Prepare profit and loss (P&L) statements and compile post-event estimates.
• Develop financial and operational expertise across MSG’s Venues related to labor and non-labor expenses.
• Provide primary analytical support to special projects as assigned.
• Maintain and update the internal user event expense estimation tool and event profit sensitivity analyses.

What do you need to succeed? 

• Bachelor’s degree in accounting, finance, or equivalent work experience
• 3+ years of work experience ideally within the live entertainment industry (concerts, family attractions, performing arts, and special events)
• Proficient understanding of Oracle Financial
• Knowledge of unions and ability to handle multiple collective bargaining agreements.
• Ability to build strong relationships with all customers (internal and external).
• Ability to work both independently to trouble shoot and problem solve.
• Ability to adapt to shifting priorities and open to learning new ways of working.
• Ability to be a reliable team member, capable of effective collaboration to achieve our shared goals across teams and departments.
• Ability to communicate effectively at all levels of the organization, tailoring the message based on the purpose, audience, and channel.
• Ability to embrace change with a flexible mindset, even if the way forward isn’t clear.

Special Requirements 

• Regular local travel within the city
• Ability to work evenings and weekends to complete event settlements.

#LI-Onsite

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