Summary

We’re looking for a Field Marketing & Events Manager to join our Marketing team in New York and lead the strategy and execution of Oasis’s global field presence during a period of rapid growth.

This role sits at the intersection of brand, pipeline, and experience.

You will architect and execute a high-impact global events strategy - from flagship industry conferences to curated executive experiences - across US, EMEA, and beyond. Your work will directly drive awareness, influence enterprise deals, and strengthen Oasis’s position as a category leader in identity security.

What You’ll Do

• Global Event Strategy: Design and execute a world-class events calendar—from high-touch executive roundtables for Fortune 500 CISOs to major international security summits.

• Full-Stack Execution: Own end-to-end logistics, including vendor global management, booth production, and on-site execution, ensuring a seamless brand experience anywhere in the world.

• Pipeline Acceleration: Partner with Sales and Marketing Ops to ensure every global engagement is captured, tracked, and converted into a measurable pipeline.

• Strategic Insights: Translate event data into actionable business impact, continuously optimizing our global strategy based on market trends and performance.

• AI-Driven Innovation: Leverage AI tools to scale your workflows and create personalized, cutting-edge experiences for attendees.

What we're looking for

• The Experience: 3-5 years in field marketing or event management, with a solid understanding of the cybersecurity landscape.

• Conference Expertise: Previous experience managing presence at major industry conferences like RSA or Identiverse is a significant advantage.

• Global Mindset: Proven track record of executing high-impact events across different regions (US, EMEA, etc.) and managing international vendors.

• Strategic Execution: You are a "doer" who can also think big. You can move seamlessly from high-level strategy to the granular details of on-site production.

• Pipeline Focused: You understand that an event’s success is measured by the quality of the pipeline it generates, not just the number of attendees.

• AI Savvy: You are curious about and comfortable using AI tools (like ChatGPT, Jasper, or meeting assistants) to optimize your work and the attendee experience.

• Exceptional Communication: You can hold your own in a room with CISOs and executives, representing Oasis with confidence and clarity.

• Eager to take ownership, prove your impact, and grow with a fast-scaling startup.

Who You Are

• Builder: You take ownership and turn ideas into execution

• Detail-Oriented: Nothing slips through the cracks, even under pressure

• Strategic Thinker: You understand how events translate into pipeline and revenue

• Relationship-Driven: You know how to engage senior stakeholders and create meaningful experiences

• Scrappy & Resourceful: You find solutions quickly and move things forward

• Calm Under Pressure: You handle last-minute changes without losing control

Why This Role

This is not a traditional events role.

You won’t just execute—you’ll own a critical growth channel, influence how Oasis shows up in the market, and directly impact revenue.

Compensation

We offer a competitive compensation package with  $170K-$180K per year ,  A variety of factors are considered when determining the compensation - including a candidate’s professional background, experience and location. Final offer amounts may vary from the amounts listed below.

About the Role

We're looking for a Demand Generation Manager to join our Marketing team and own the full-funnel pipeline engine for Oasis during a period of rapid growth.

This role sits at the intersection of data, creativity, and revenue. You will design and execute multi-channel campaigns that drive awareness, generate qualified pipeline, and accelerate deals across our target enterprise accounts. Your work will directly influence how fast Oasis grows.

What You’ll Do

• Pipeline Generation: Design and execute multi-channel demand gen programs — paid, organic, email, ABM, and events — that consistently deliver qualified pipeline for the sales team.
• ABM Strategy: Build and run account-based marketing programs targeting Fortune 500 CISOs and security leaders, in close partnership with Sales.
• Campaign Optimization: Own campaign performance end-to-end — from targeting and messaging to conversion tracking and ROI analysis — continuously improving based on data.
• Marketing Automation: Manage and optimize the marketing tech stack, including CRM, MAP, and analytics tools, to scale programs efficiently.
• Cross-Functional Collaboration: Partner closely with Sales, Product Marketing, and Field Marketing to ensure every program is aligned to pipeline goals and account priorities.
• AI-Driven Workflows: Leverage AI tools to personalize campaigns at scale, automate workflows, and generate sharper insights from performance data.

What we're looking for

• The Experience: 4–7 years in demand generation or growth marketing within cybersecurity or B2B SaaS. Experience marketing to security or identity personas is a significant advantage.
• ABM Expertise: Previous experience running account-based marketing programs targeting enterprise accounts and C-level buyers is a major plus.
• Data Driven: Proven track record of using data to optimize campaigns, report on pipeline contribution, and make smart investment decisions across channels.
• Strategic Execution: You are a "doer" who can also think big. You move seamlessly from campaign strategy to the granular details of a segmented email sequence.
• Pipeline Focused: You measure success in pipeline generated and revenue influenced — not impressions or clicks.
• AI Savvy: You are curious about and comfortable using AI tools (like ChatGPT, Jasper, or marketing automation platforms) to optimize your work and drive more impactful campaigns at scale.
• Exceptional Communication: You can hold your own in a room with Sales leaders and executives, representing the marketing function with confidence and clarity.
• Eager to take ownership, prove your impact, and grow with a fast-scaling startup.

Who You Are

• Builder: You take ownership and turn strategy into pipeline programs that ship.
• Detail-Oriented: Nothing slips through the cracks, even under pressure.
• Strategic Thinker: You understand how demand gen programs translate into revenue.
• Relationship-Driven: You know how to align with Sales and create programs that earn their trust.
• Scrappy & Resourceful: You find solutions quickly and move things forward.
• Calm Under Pressure: You handle shifting priorities and quarter-end pressure without losing focus.

Why This Role

This is not a traditional demand generation role.

You won't just run campaigns - you'll own the pipeline engine for one of cybersecurity's fastest-growing companies, directly shaping how Oasis reaches and converts the world's most security-conscious enterprises. As Oasis scales, this role will be at the center of our growth.

About the Role:

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.

As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. 

If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
• Build products that our customers genuinely love

Here’s what we’re looking for:

• Successful applicants typically have 8+ years of software development experience
• Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails 
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing. 

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. We are looking for a Fraud Analyst to join our Threat Intelligence team! 

What You’ll Do:

• Conduct research on emerging cyber threats, adversary activity, and global threat trends
• Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
• Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
• Monitor and assess Chinese-language sources to identify relevant threat activity and insights
• Contribute to the production of high-quality intelligence reporting for internal and external stakeholders
• Assist in identifying and developing indicators and detection opportunities
• Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
• Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft

What You'll Bring:

• BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security Studies, or a related field
• 1–2 years of experience in Threat Intelligence, Cybersecurity, or a related discipline (including internships or academic research)
• Foundational understanding of cyber threat analysis and intelligence methodologies
• Basic knowledge of networking concepts, including TCP/IP, DNS, and internet infrastructure
• Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata
• Familiarity with OSINT collection and analysis techniques
• Exposure to common CTI tools and workflows (e.g., Jupyter Notebook, Maltego, Elastic Stack, or similar platforms)
• Understanding of structured analytic techniques and frameworks such as MITRE ATT&CK, the Cyber Kill Chain, or the Diamond Model
• Strong analytical, problem-solving, and critical thinking skills
• Effective written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
• Ability to work collaboratively in a fast-paced, globally distributed team environment

Required:

• Professional working proficiency in Chinese, with the ability to read, analyze, and synthesize native-language sources

Preferred Qualifications:

• Experience analyzing financially motivated cyber activity, including phishing, scams, or account compromise
• Basic scripting or programming experience (Python preferred) for data analysis or task automation
• Familiarity with underground ecosystems such as forums, marketplaces, or messaging platforms (e.g., Telegram)
• Understanding of payment systems, cryptocurrency usage, or fraud-related typologies
• Experience working with threat intelligence datasets or large-scale data analysis
• Exposure to detection development or identifying indicators of malicious or suspicious activity
• Working knowledge of Russian is a plus

The base salary range for this full-time position is $78,500-$117,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Issuing team enables users to build and launch successful card programs and financial features into their product using powerful programmatic APIs. The team creates the infrastructure, user facing experiences, and partner integrations needed to manage the lifecycle of a card and enable efficient money movement. This is a great opportunity to help build one of Stripe’s fastest growing businesses. Our top users span fintechs to large enterprises & cover a range of verticals including Buy Now Pay Later, vertical SaaS platforms, on-demand marketplaces, expense management platforms, fleet, travel & more.

What you’ll do

As an Engineering Manager on this team, you'll lead engineers who operate at the critical intersection of high-availability distributed systems and financial infrastructure — where uptime is measured to four nines, authorization decisions must happen in seconds, and every request directly impacts the businesses and cardholders who depend on Stripe every day. At the heart of Issuing is the real-time authorization flow — the core moment when a cardholder swipes, taps, or enters their card details and Stripe decides whether to approve or decline the transaction. This team manages direct integrations with card networks, handles the full transaction lifecycle from authorization through clearing and settlement, and builds the features — spending controls, real-time webhooks, digital wallet provisioning — that give users programmatic control over every transaction.

Responsibilities

• Full-Stack Ownership: Enable your team to work across a wide range of systems, processes, and technologies, empowering them to own and solve complex problems from end-to-end.
• Operational Excellence: Design and lead engineering processes that allow the team to do its best work while engaging effectively with the broader Stripe ecosystem.
• Cross-Functional Partnership: Collaborate deeply with stakeholders across Product, Design, Data Science, Operations, Partnerships, and Marketing to align on strategy and execution.
• Team Growth & Mentorship: Actively develop the engineers on your team, providing the coaching and opportunities they need to advance in their careers.
• Strategic Recruiting: Partner with Stripe’s recruiting team to identify and hire world-class engineering talent to scale the organization.

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

• At least 5 years of experience managing teams that shipped high-quality products
• An entrepreneurial mindset
• Successfully recruited and built great teams
• Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs
• Strong written and verbal communication skills for different audiences (leadership, users, company-wide)
• Thrives with a high degree of autonomy and responsibility in an ambiguous environment
• Technical acumen to drive clarity about architecture and technical strategic decisions
• Ability to dig deep into data, think from first principles, and deliver the right results
• Encourages a healthy and inclusive work environment that’s both challenging and supportive

Preferred qualifications

• Experience with financial product companies and interest in financial products and markets
• Productively lead fully remote teams

About the role

Chime is building a world-class IT Support & Operations organization that delivers exceptional employee experiences while scaling reliably and securely. Our IT team partners closely with employees across the company to ensure technology enables productivity, collaboration, and growth.

As an IT Support Technician II (L2), you will be a proficient and accountable member of the IT Support team, owning technical execution and ensuring high-quality support with care. You will be responsible for resolving moderate-complexity tickets, maintaining established processes, and providing reliable support to local and remote employees. This role emphasizes craftsmanship, ownership of outcomes, and balancing speed with care.

The hourly range offered for this role and level of experience will begin at $34.62 to $48.08 per hour. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

Accountability & Technical Craft

• Owns Outcomes: Ensures every ticket or task is fully resolved and documented, demonstrating ownership and accountability for service excellence.
• Technical Proficiency: Proficient with end-user device management, account administration, and SaaS troubleshooting.
• Quality & Standards: Follows Standard Operating Procedures (SOPs) precisely and contributes by giving feedback to senior team members for SOP improvement.
• Troubleshooting: Troubleshoots basic infrastructure problems and understands core IT infrastructure and workflows end-to-end.
• Policies: Follows and contributes to IT Policies and knowledge base articles.

End-User Support & Execution

• Ticket Resolution: Resolves moderate-complexity tickets efficiently and meets service-level targets.
• Workload Management: Manages daily workload independently with minimal oversight.
• Communication: Communicates clearly and effectively with users and teammates in both written and verbal settings.
• AV Support: Provides basic AV support and maintenance for medium to small meetings, including daily sweeps and service desk requests.
• Physical Support: Works across multiple IT systems (identity, collaboration, endpoint management) to support individual users' requests and tasks and provides support during business hours at the TechGarden.

Autonomy and Growth

• Documentation Use: Can locate, understand, and follow directions from IT documentation; highlights inconsistencies and updates as needed.
• Client Guidance: Can lead clients to public documentation as a means to solving issues.
• Automation Input: Uses existing automation tools to deliver solutions and contributes input on possible improvements.
• Escalation: Escalates only complex or admin-blocked requests, knowing when and what to escalate.
• Mentorship: Receptive to mentoring and assimilates team, technical, and business knowledge.

Business & Member Outcomes

• Process Adherence: Follows established processes and procedures, escalating when appropriate and learning what kind of detail is needed for each incident type.
• Efficiency: Improves team efficiency through proactive process cleanups or documentation updates.
• Satisfaction: Maintains excellent internal satisfaction scores.
• Contribution: Contributes to small automation or improvement initiatives.

To thrive in this role, you have

• Experience: 3+ years of hands-on IT support experience in a corporate environment.
• Technical Knowledge: Proficient with end-user device management, account administration, and SaaS troubleshooting.
• Execution: Proven ability to resolve moderate-complexity tickets efficiently and manage daily workload independently.
• Quality Focus: Demonstrated commitment to following SOPs precisely and owning outcomes.
• Communication: Clear written and verbal communication skills.
• AV Basics: Experience with basic AV support and maintenance for conference rooms.

Nice-to-have

• Familiarity with ITSM tools like Jira Service Desk and documentation platforms like Confluence.
• Experience with the common Chime tech stack administration (e.g., G-Workspace, Slack, Atlassian).
• Experience with end-to-end IT infrastructure workflows.
• A background in contributing to knowledge base articles and SOPs.

#LI-Onsite #LI-JL1

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

About Orchard

Orchard’s mission is to make home buying and selling, stress free, fair and simple. For the average American, the home purchase and sale process takes months, creates anxiety, and is filled with uncertainty and hassle. Orchard has reimagined the end-to-end experience of buying and selling, from innovative home search tools to find the perfect home to the ability to buy a new home before selling your current one. Orchard customers manage the entire experience through a personalized online dashboard, while also getting the support of best-in-class Orchard real estate agents.

Headquartered in New York City with teammates across the US, Orchard has 150+ full time employees and 600+ real estate agents. We have financing from top-tier investors including Revolution Growth, Firstmark, Accomplice, Navitas and Juxtapose, who have also backed the likes of Pinterest, AirBnb, Shopify and Sweetgreen. We're proud to have been recognized by Crain's, Inc. 5000, Glassdoor, Parity.org and Built In on their lists of best places to work.

About the Role

Orchard is looking for a Senior Product Manager to own and build out our internal tooling that is used across multiple teams, including Real Estate Agents, Transaction Coordinators and Operations.  The Senior Product Manager will be responsible for making this tooling faster and easier to use, and to figure out how we help our Agents close more deals by getting them better information at the moments that matter.  You will work closely with Engineering, Design, Data Science, Analytics, Real Estate Agents and Operations teams to ensure that workflows become faster, are accurate, and user friendly.  You will prototype your way to a working artifact, then use it to align stakeholders and de-risk engineering work. Our Product Managers write specs, build prototypes, work hands-on with code and data, and use AI tools as a part of their daily process.

This is a full time, individual contributor role that will report into Director, Platform Product and Data. This hybrid role is based out of our New York City office, where we are in office Tuesdays and Wednesdays.

What You’ll Do Here

• Own the roadmap for our internal tooling stack, which includes Deal Hub, Contracts, and Net Sheets.
• Decide how Agent intelligence shows up in the product. The Data team produces deal scoring, conversion likelihood, and opportunity ranking. You decide which signals surface where, when prompts fire, and how workflows reorganize around them. The outcome is more deals closed per Agent.
• Spend real time with Agents, Market Managers and Transaction Coordinators to have a full understanding of their workflows and pain points.
• Prototype to test ideas with real users early before engineering resources are committed
• Partner closely with engineering and analytics to bring useful products to life. Read code and query the warehouse yourself so you're a partner in the build, not a spec writer.
• Find places where AI can replace manual work or coach Agents through harder moments in a transaction. Ship to production and learn from what happens.

We’d Love to Hear From You if You Have:

• 2+ years of product management experience in a start up environment, where you have shipped products from conception to launch.
• Fully owned internal tools, operations platforms, or workflow software where the users are colleagues rather than consumers.
• Experience using AI tools (Claude Code, Cursor or similar) to ship a product and you know the difference between a demo prompt and one that holds up in production.
• Experience independently conducting user interviews and running discovery end to end, in order to solve the right problems.
• Strong analytical instinct. You can pull your own data, define your own metrics before launch, and don't wait for an analyst to tell you what's happening.
• A track record of taking ownership of large, cross-functional projects.

The pay range for this position in New York City is $130k-170k/year. The actual base pay offered may vary within the range provided depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.

Community & Events Associate

Location: New York, NY

About WithCoverage:

WithCoverage replaces the traditional insurance brokerage with AI-supercharged risk management designed for the modern economy. 

We partner with hundreds of high-growth, category-defining companies, including GoPuff, Eight Sleep, Bombas, Chomps, and Blank Street Coffee. Our clients span iconic consumer brands, hospitality leaders, GCs, advanced manufacturers, and next-generation defense contractors. They operate in complex risk environments and need a partner that can move at their speed.

Instead of a fragmented, manual brokerage stack, we have built a new category: elite risk advisors operating on top of proprietary technology. Our in-house Agency Management System gives our team and AI agents full visibility into policies, exposures, claims, billing, and commissions. This platform enables deep automation, better decisions, and a fundamentally higher standard of service.

WithCoverage was founded by JD Ross (co-founder of Opendoor) and Max Brenner (Bain, Compound). We have raised over $43M from leading investors including Sequoia, 8VC, Khosla Ventures and Crystal Venture Partners. 

Our ambition is not to build a better brokerage. It is to redefine how risk is managed across the economy.

Why Join Us:

• Grow Faster – We’re scaling quickly, giving you significant opportunities to learn, lead, and shape your career and the company's future.
• Work That Matters – We protect the world’s most innovative brands: consumer icons, hospitality leaders, next-gen defense contractors, and US manufacturers.
• Redefine an Industry – Insurance is one of the largest, slowest-moving markets. We rewrite the playbook with proprietary technology, automation, and AI.
• Financial Rewards – We hire the best and invest in you. That means competitive comp, meaningful equity, and excellent benefits. We believe strongly in internal promotion and lay out a plan for everyone's career growth.

About The Role: 

As our Community & Events Associate, you'll help operate and scale one of our most important GTM channels: a community-driven events engine that builds brand, generates pipeline, accelerates deals, and turns clients into champions. You'll work directly with our Community Lead to build out and operate this function — partnering with our Growth Team, running high-volume programs, and helping turn our community work into a predictable pipeline channel.

This is a rare chance to join a community-driven events ecosystem being built from the ground up, contribute to standing up our early in-house business development and marketing capabilities, and scale awareness across the operators shaping the modern economy. If you're excited by building communities, running high-volume events, and taking a systems-driven approach to turn creative GTM ideas into measurable pipelines, we'd love to chat.

What You'll Do

Event strategy & execution

• Work with our Growth Team to design and execute multi-format events for our core communities
• Own end-to-end event execution: venues, vendors, budgets, production, timelines, RSVPs, and on-site logistics
• Travel from time to time to host, connect, and build relationships in person — serve as a WithCoverage ambassador

Pipeline & relationship building

• Drive event RSVPs and attendance through proactive outbound: cold email, LinkedIn, warm intros, conference outreach
• Build and maintain relationships with prospects, connectors, and partners to grow our event audiences over time
• Coordinate with co-hosts and partners on joint events to extend reach

Community management & onboarding

• Work directly with our Community Lead to build out executive communities focused on our ICP
• Own day-to-day community operations and member experience
• Run new member onboarding end-to-end
• Partner with Growth Team to execute new member growth strategies

Content & storytelling 

• Help stand up the early marketing layer for our communities — newsletters, content, social, lifecycle automation

Who You Are

• 2-6 years of relevant experience in community, events, partnerships, field marketing, or BD — ideally at a startup or high-growth B2B company
• Operator first. Diligent, executional, ownership-driven — you run things to completion and don't need to be told twice
• Highly organized project manager. You juggle multiple events in flight, manage vendors and RSVPs, and ensure nothing falls through the cracks
• Polished, articulate, and a natural connector. You're comfortable in rooms with executives, operators, and investors — they should leave feeling welcome and impressed by the caliber of the team behind WithCoverage
• Comfortable with outbound and a sales mentality — cold outreach, prospecting, and treating events as a sales channel
• Experience using a CRM for tracking and reporting; HubSpot a plus

For candidates based in the United States, the expected OTE pay range for this position at the start of employment is $85,000 – $150,000/year. Actual compensation will vary based on individual factors, including market location, relevant experience, and role scope. In addition to base salary, this role is eligible for variable compensation tied to performance or quota attainment, where applicable. WithCoverage’s Total Rewards package for full-time employees also includes equity participation and comprehensive benefits. If you’re excited about the role but your compensation expectations are outside this range, we’d still love to hear from you; final offers reflect experience, scope, and leveling.

What We Offer:

• Competitive compensation that includes equity
• Comprehensive benefit plans for medical, dental, vision, life, and disability
• Pre-tax accounts (FSA, HSAs, dependent care FSAs, commuter savings)
• Human Interest: 401(k) provider
• Time Off: Flexible time off, sick leave, family and medical leave, major national holidays
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Collaborative, transparent, and fun culture

At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! To ensure our users make the most out of Algolia’s powerful features, we need to first make sure that they understand our offerings and are able to set everything up quickly. 

The Growth org aims to help Algolia grow by working on changes in the product, introducing new features, and providing the best possible user experience. You will get to shape the user experience of our customers as they start using Algolia, help create a new Growth platform, mentor software engineers, and introduce best practices.

A few projects we’ve worked on recently include:

• New data integrations with other developer platforms
• New marketplace and billing integrations
• New internal platforms such as notifications, experimentation, feature flagging
• AI based data processing platforms

Your role will consist of: 

• Coming up with innovative solutions to help users get the most out of Algolia
• Executing experiments and A/B tests to choose the best possible solution
• Collaborating with Product and Design teams to identify and ideate on opportunities
• Mentoring other software engineers and helping them grow
• Designing & developing a scalable growth platform
• Working with a wide range of teams to deliver a solid growth foundation
• Improving engineering quality, processes and tooling
• Helping define the team roadmap
• We follow a bottom-up approach: the teams come up with their own initiatives targeting our metrics and execute on them

You might be a fit if you have:

• Passion about delivering the best UX to diverse sets of users in various industries (engineers, marketers, merchandisers, etc.)
• Mindset to take data driven decisions and analysing impact of the changes you introduce
• Experience with event driven infrastructure in GCP or AWS
• Experience with a server-side typed or untyped language
  • We use Ruby and have plans to integrate more Golang, so willingness to learn is important
• Experience with JavaScript, TypeScript, React, HTML/CSS –  this role is fullstack, we expect engineers to be able to ship across the stack

Nice to have:

• Experience working in a scale-up or Growth team
• Experience with analytics platforms like Amplitude, Hex

#LI-hybrid

About the Role  

The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. This individual will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.  

Responsibilities 

• Develop web application in React as front end and Ruby on Rails as a backend. 

• Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. 

• Participate in architecture reviews and technical design.  

• Active participation in daily stand-up meetings.

• Active participation in Peer Code Reviews as part of our standard SDLC and Change.

Qualifications

• 5+ years software engineering experience building enterprise SaaS cloud-based solutions 

• 3+ years of Ruby on Rails development experience 

• 3+ years of hands-on experience with modern JS frameworks such as React 

• 2+ years of front end and back-end test automation development using RSpec, Cucumber or similar 

• Technical leadership/management experience is a plus 

• Demonstrated understanding of relational database concepts and modeling practices

• Familiar with cloud-based technologies – K8S, AWS etc. 

• Able to work in an Agile / Kanban methodology 

• Able to work independently or as part of a group effort, as required 

• Solid problem-solving ability 

• Excellent communication skills 

• Collaborative approach to software development 

Benefits

The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Full Stack Engineer  

The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.  

Responsibilities 

• Web application development in React as front end and Ruby on Rails as a backend. 

• Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. 

• Participate in architecture reviews and technical design.  

• Active participation in daily stand-up meetings 

• Active participation in Peer Code Reviews as part of our standard SDLC and Change 

Qualifications  

• 3+ years software engineering experience building enterprise SaaS cloud-based solutions 

• 2+ years of Ruby on Rails development experience 

• 2+ years of hands-on experience with modern JS frameworks such as React 

• 2+ years of front end and back-end test automation development using RSpec, Cucumber or similar 

• Technical leadership/management experience is a plus 

• Demonstrated understanding of relational database concepts and modeling practices. 

• Familiarity with cloud-based technologies – K8S, AWS etc. 

• Ability to work in an Agile / Kanban methodology 

• Ability to work independently or as part of a group effort, as required 

• Solid problem-solving ability 

• Excellent communication skills 

• Collaborative approach to software development 

Benefits

The base salary range for this role is $110,000 to $135,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

Community & Events Manager / Community Lead 

About WithCoverage:

WithCoverage replaces the traditional insurance brokerage with AI-supercharged risk management designed for the modern economy. 

We partner with hundreds of high-growth, category-defining companies, including GoPuff, Eight Sleep, Bombas, Chomps, and Blank Street Coffee. Our clients span iconic consumer brands, hospitality leaders, GCs, advanced manufacturers, and next-generation defense contractors. They operate in complex risk environments and need a partner that can move at their speed.

Instead of a fragmented, manual brokerage stack, we have built a new category: elite risk advisors operating on top of proprietary technology. Our in-house Agency Management System gives our team and AI agents full visibility into policies, exposures, claims, billing, and commissions. This platform enables deep automation, better decisions, and a fundamentally higher standard of service.

WithCoverage was founded by JD Ross (co-founder of Opendoor) and Max Brenner (Bain, Compound). We have raised over $43M from leading investors including Sequoia, 8VC, Khosla Ventures and Crystal Venture Partners. 

Our ambition is not to build a better brokerage. It is to redefine how risk is managed across the economy.

Why Join Us:

• Grow Faster – We’re scaling quickly, giving you significant opportunities to learn, lead, and shape your career and the company's future.
• Work That Matters – We protect the world’s most innovative brands: consumer icons, hospitality leaders, next-gen defense contractors, and US manufacturers.
• Redefine an Industry – Insurance is one of the largest, slowest-moving markets. We rewrite the playbook with proprietary technology, automation, and AI.
• Financial Rewards – We hire the best and invest in you. That means competitive comp, meaningful equity, and excellent benefits. We believe strongly in internal promotion and lay out a plan for everyone's career growth.

Why This Role

You will be our first dedicated Workplace and People Operations hire, helping shape how our company runs and how it feels to work here. This is not just about keeping things organized.

You will build the foundation for our employee experience as we scale, from how the office operates to how every new hire starts their journey.

Role Overview

This is a high-impact role based in our NYC office at the center of the company. You will own the day-to-day workplace experience while supporting core People Operations workflows across onboarding, systems, and employee lifecycle processes. You will partner across teams to ensure things run smoothly, people feel supported, and processes scale with the business. If you enjoy building from the ground up and being the person who makes everything work, this role will be a great fit.

What You’ll Own

Workplace and Office Operations

• Make our NYC office run smoothly and feel like a great place to work
• Manage vendors including facilities, cleaning, snacks, and supplies
• Plan and coordinate team events and in-office moments
• Support seating and workspace planning as the team grows
• Handle day-to-day logistics including mail, access, and inventory

Onboarding and Employee Experience

• Own onboarding logistics for all new hires
• Ensure every new hire is set up for success on day one
• Partner with Recruiting and hiring managers to deliver a strong onboarding experience
• Run onboarding sessions and continuously improve the experience

People Operations

• Manage employee data and workflows in Rippling
• Support onboarding and offboarding processes and documentation
• Handle employee requests and employment verifications
• Partner with Finance or vendors to support payroll and bonus inputs
• Maintain employee records including agreements and policies
• Support training programs and track completion

Equipment and Systems

• Coordinate laptop setup and inventory management
• Partner with IT vendors to ensure employees are fully set up
• Maintain clean, organized systems and process documentation

What Success Looks Like

• The NYC office runs smoothly and feels organized, welcoming, and high quality
• New hires have a seamless and thoughtful onboarding experience
• People Operations processes are reliable, clear, and easy to follow
• Employees know where to go for support and get help quickly

You Might Be a Fit If

• You have 2 to 5 years of experience in office operations, HR coordination, or People Ops
• You are highly organized and detail-oriented
• You are a strong communicator and enjoy working with people across teams
• You are comfortable using systems like HRIS platforms and Google Suite
• You are proactive, resourceful, and comfortable in a fast-paced environment
• You have experience with Rippling or a similar HR system
• You have supported onboarding or employee lifecycle processes
• You have worked in a startup or high-growth environment
• If you are the type of person who takes pride in making things run smoothly and creating a great experience for others, you will have a meaningful impact here from day one

For candidates based in the United States, the expected pay range for this position at the start of employment is $60,000 – $75,000/year. Actual compensation will be determined based on factors such as market location, job-related skills, experience, and qualifications. This role may also be eligible for additional variable compensation, including quota-based incentives where applicable. WithCoverage offers a comprehensive Total Rewards package for full-time employees, which includes equity grants and a robust suite of benefits.

What We Offer:

• Competitive compensation that includes equity
• Comprehensive benefit plans for medical, dental, vision, life, and disability
• Pre-tax accounts (FSA, HSAs, dependent care FSAs, commuter savings)
• Human Interest: 401(k) provider
• Time Off: Flexible time off, sick leave, family and medical leave, major national holidays
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Collaborative, transparent, and fun culture

The role:

As a Senior Full Stack Engineer, you will serve as a primary contributor in the development, deployment, and optimization of enterprise-grade, full-stack custom applications at scale. The ideal candidate brings 5+ years of robust engineering experience, a distinguished history of end-to-end delivery, and comprehensive mastery of software design—ranging from intricate user interfaces and business workflows to foundational back-end data architecture. You will collaborate with cross-functional teams to define technical strategy, advocate for engineering excellence, and deliver high-impact solutions directly to our member community.

What you’ll do: 

• Architect, design, and build end-to-end user-facing software applications using rich interactive user-interfaces with your expertise working with information extracted from databases and APIs (including leveraging native database functions such as Snowflake Cortex for advanced AI workloads).
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Collaborate with the AI engineers on the team to implement multi-agentic AI applications, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving
• Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement.
• Deploy, optimize, and monitor complex business process workflows on enterprise frameworks 
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Participate in code and design reviews, and make technical decisions for design and architecture of software solutions.
• Collaborate with Product, Design, and Engineering to deliver high-impact solutions and foster a growth-mindset environment.
• Stay current with the latest trends in software engineering, GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience, with a focus on full-stack frameworks and engineering to develop custom product delivery specializing in AI
• Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.
• Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development.
• Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders.
• Willingness to take ownership, and champion learning and innovation within the organization.

Nice to have:

• Exposure to other cloud-native or AI workflow orchestration platforms.
• Experience with AWS
• Prior fintech or high-throughput consumer product experience.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.

Are you eager to explore a career in HR? Datadog is scaling, and we are committed to investing in our people. If you are looking to get a ground floor experience in supporting a high-growth tech company as it scales, this is the place to be. You’ll be heavily involved in all things that make it possible for our employees to do great things here contributing to our success. You will have the opportunity to learn and grow from great mentors and will provide front-line support to drive the success of key People initiatives. You will be a trusted member of the global People Team and instrumental in driving efficiency and organization in your day-to-day support. 

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:

• Serve as the first point of contact for employee questions received through the People Services Center, triaging when necessary.
• Own the administrative execution of new hire onboarding and offboarding.
• Own all aspects of maintaining employee changes and data throughout the full employee life cycle including employee changes in the system, organizational updates, job change letters, and audits.
• Champion collaborative cross functional relationships with Recruiting, IT, Payroll, and hiring managers to ensure a successful hiring process and engaging onboarding experience for new hires.
• Organize and maintain internal documentation and perform regular audits to ensure accuracy and completeness. 
• Develop and regularly maintain internal knowledge base resources to empower employees to be self-directed and successful.
• Ensure compliance with company policies and procedures, local, state, and regional regulations.
• Coordinate and support new hires during the entire onboarding process, ensuring a smooth transition for each new hire
• Assist with salary and stock administration

Who You Are:

• Curious about a career in human resources and eager to get involved and improve processes such as payroll, benefits, and administrative support
• Comfortable processing confidential material
• Someone who maintains a high degree of professionalism
• Excellent in your oral and written communications skills
• Detail oriented, organized and able to multitask in a fast-paced environment
• An expert in Excel with experience in Google for Enterprise

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 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• 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.

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 75 min hands-on technical interview with a Senior Engineer.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

The Role:

We are looking for a Client Value Partner, CPG—a seasoned industry executive who can bridge the gap between global supply chain strategy and operational excellence. You will act as the primary accountable lead for one of our most strategic global accounts, translating C-level vision into clear, realized value.

As a Partner, you are a "go-to" strategic advisor within our CPG & Retail go-to-market organization. You will move beyond standard customer success to link Celonis capabilities to key outcomes specific to high-volume distribution, logistics, and asset-intensive operations.

You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our top-tier customers. You are our customers’ trusted advisor, helping them mobilize resources, achieve their strategic goals, and realize significant value using the Celonis Process Intelligence Platform.

In collaboration with our partners, Product, and Engineering teams, you will drive measurable business impact across complex global networks. You will blend deep industry expertise with a proven strategy consulting skill set to spearhead data-driven transformation at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

Identify & Frame Value

• Translate Strategy to Operations: Analyze the client's strategic goals (e.g., Network Optimization, Sustainability/ESG, Working Capital Release) and map them to a long-term vision utilizing the Celonis platform.
• Target High-Impact Areas: Architect the "CSCO" or "COO" agenda—moving beyond isolated use cases to optimizing entire value chains, such as Order-to-Cash, Procure-to-Pay, Logistics & Distribution, and Inventory/Asset Management.
• Build the Business Case: Construct robust, board-level business cases that articulate the financial impact of Process Intelligence (e.g., impact on Cost-to-Serve, On-Time-In-Full performance, or Asset Utilization) to C-Suite executives.
• Build demos and strategic roadmaps, leveraging industry benchmarks and best practices in order to embed Celonis as a core pillar of the client's digital supply chain strategy.
• Undertake Value Assessments and communicate the value opportunity and strategic roadmap to C-Level executives.

Realize Value

• Drive Engagement Success: Lead the executive relationship and value workstream for large-scale transformations, ensuring the program effectively delivers on its "digital twin" promise across the global network.
• Orchestrate the Ecosystem: Guide customers on organization design and the maturation of Centers of Excellence (CoE), mobilizing global cross-functional teams (Services, Product, Engineering) to ensure seamless delivery.
• Solve Systemic Challenges: Work cross-functionally to tackle difficult implementation hurdles, helping customers define standards for inventory visibility, fleet/logistics optimization, and enterprise-wide change initiatives.
• Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement in Supply Chain and Finance functions.
• Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
• Present results and realized value to senior management and C-level executives.

Scale Value

• Codify Best Practices: Turn our client successes into reusable assets, playbooks, and thought leadership for the broader CPG and Distribution practice.
• Mentor & Enable: Act as a senior leader for the team, coaching junior members and managers on executive relationship management, supply chain nuances, and team performance.
• Product Feedback: Serve as the "Voice of the Customer" to our Product teams, ensuring our development roadmap aligns with the specific scale and complexity needs of a global enterprise.
• Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing.
• Build a strategic expansion roadmap for customers, embedding Celonis Process Intelligence Platform as a strategic business transformation platform in their organization.
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases.

The qualifications you need:

• Deep Industry Experience: 15+ years of relevant experience, ideally combining time at a global CPG, Logistics, or Supply Chain-intensive firm with Strategy Consulting. You understand the complexities of moving goods and managing assets at scale.
• Domain Expertise: You possess granular knowledge of the value chain, specifically in areas such as Supply Chain Planning, Logistics & Distribution, Fleet/Asset Management, and Order Management.
• Value Realization Skills: You have a track record of driving large-scale transformation programs. You understand how to impact the P&L through inventory optimization, logistics efficiency, and cash flow improvement.
• Technical Fluency: You understand the modern supply chain stack (SAP S/4HANA, Oracle, TMS/WMS systems) and how to translate Celonis use cases into the customer's specific business landscape.
• Stakeholder Management: Extensive experience presenting to and influencing C-Level executives (CSCO, CIO, CFO). You can navigate complex global organizations and have the power of persuasion through data, facts, and confidence.
• Builder Mentality: You are comfortable working with ambiguity and possess an entrepreneurial leadership style that inspires teams.
• Degree: MBA strongly preferred; Degree in Business, Supply Chain Management, Engineering, or related field required.

Visa sponsorship is not offered for this role.

About the Team

The Atlas Data Federation and Archiving (ADFA) Customer Experience team supports the Atlas Data Federation system which empowers customers to create virtual databases that can query, transform, and analyze data across multiple sources (MongoDB clusters and cloud object storage) through a unified MongoDB query interface, without moving or copying the underlying data. The ADF system handles  hundreds of millions of queries per month, processing exabytes of customer data.

About the Role

This role is responsible for designing, building and testing high-impact projects and enhancing the scalability, performance, durability, availability and reliability of the Atlas Data Federation distributed systems. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.

Our team is distributed across North America. The position is open to our “in office”, “flexible”, or fully remote working models with convenient work hours for each time-zone.

If you are passionate about data management, distributed systems, and leadership, and are excited to work on high-impact, high-growth projects, we would love to hear from you.

Role Responsibilities

• Design, architect, build, and deliver core pieces of Atlas with focus on storage systems, query engine, and customer facing components with coding in Go, Java, and React
• Approach problems from a customer-focused perspective and use data to propose high ROI improvements to our product and operations
• Collaborate with colleagues and other teams in Atlas to scope, spec and deliver new features
• Define your top priorities and focuses, communicate them, and execute against them
• Improve and maintain our codebase by applying best practices and fundamental software design principles

Candidate Profile

• 3+ years experience in software engineering, primarily focused on cloud-native backend systems
• B.Sc / M.Sc in Computer Science or similar field, or equivalent practical experience.
• Proficient in a modern compiled programming language (Go, Java, C#, C++, etc.)
• Experience implementing, and operating distributed storage systems with high availability and durability guarantees
• Enjoys working with others towards a common goal
• You're a self-starter! You're comfortable organizing your own time and propose changes backed by data
• Is curious, collaborative, empathetic, coachable and intellectually honest
• Great diagnostics skills, considering edge cases in designs with a bias for simplicity
• Has a passion for problem solving and learning new things in the domains of computer science and software engineering

Nice to haves

• Experience building and testing full-stack systems (using React or similar frameworks)
• Oncall experience and having customer first approach when considering different approaches
• Experience designing Data Lake protocols (and similar e.g. Delta Lake, Hudi,...) 
• Experience optimizing throughput in distributed storage systems
• Experience working with multiple cloud providers (AWS, GCP, Azure)

Success Measures

• In 1 month, you'll learn about the system and ask quality questions, go through the inner & outer loop
• In 3 months, you'll have contributed to a large project
• In 6 months, you’ll be leading the design and execution of your own project

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 nearly 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: 4263341903

MongoDB is seeking an experienced Product Manager to own the strategy and execution for two tightly integrated layers of our core database: Replication and Storage Engines (WiredTiger). Together, these layers underpin MongoDB’s durability, availability, and performance for customers running mission-critical workloads.

This role spans two very different levels of customer visibility. Replication is, at its core, about keeping a distributed system in sync. Customer-facing concepts like failover, read concerns, and write concerns are how those guarantees surface. Customers understand and articulate those directly. WiredTiger internals like eviction, checkpointing, and cache management are invisible to customers, but are often blamed when "the system is misbehaving". You’ll need to move comfortably between both worlds: translating ambiguous customer symptoms into precise priorities for the storage engines team deep in the stack, while driving the replication roadmap and partnering with fellow database product managers on cross-cutting concerns.

We are looking to speak to candidates who are based in New York City or Seattle for our hybrid working model.

Responsibilities

• Own the product direction, roadmap, and execution plan for MongoDB’s replication and storage engine layers, ensuring we continue to deliver rock-solid durability, availability, and performance for mission-critical workloads
• Define the long-term roadmap for the storage engine (WiredTiger), balancing architectural investments against near-term escalation pressure
• Define and track measurable service-level objectives (SLOs) for replication lag, failover time, storage engine health and predictability, and customer data durability
• Distill ambiguous customer pain (e.g. "the system falls over" or "we see intermittent latency spikes") into actionable, scoped priorities for Storage Engines. Frame work in customer-outcome terms so the team can spot gaps independently
• Lead high-stakes escalations, coordinating with Support and engineering to resolve issues and reduce churn risk
• Drive improvements to the replication protocol, including elections, consensus, failover, read/write concern semantics, and distributed transaction consistency
• Own product direction for oplog, initial sync, elections, rollback, and replica set configuration
• Maintain clear ownership boundaries with the Storage Execution Product Manager
• Enable Sales, Support, Customer Success, and Product Marketing as the subject-matter expert for replication and storage engine reliability
• Partner with engineering leadership on quarterly planning, technical strategy, and project scoping

Requirements

• You can take a messy customer problem and turn it into something an engineering team can act on. When someone reports "intermittent latency spikes," you know how to dig in, ask the right questions, and trace it back to a root cause
• You are strong technically. You understand how distributed systems work, how databases store and replicate data, and you can hold your own in a room full of highly technical engineers
• You have a track record of making decisions and shipping in complex technical environments, not just analyzing
• You collaborate well with highly empowered engineering teams. This role influences through clarity and conviction, not authority
• You have experience working directly with enterprise customers on technical solutions
• You communicate complex concepts in a manner that is easily understood by multiple audiences, from deep-stack engineers to field teams to customers

Bonus Points

• Experience with replication protocols, distributed consensus, storage engines, or other core database internals (B-tree engines, write-ahead logging, cache management)
• Experience managing products where the end user has no direct visibility into the component. You're used to being the bridge between customer experience and deeply internal systems behavior
• A track record of handling complex customer escalations and turning them into product improvements
• 5 or more years of experience in product management or a deeply technical customer-facing role

Scope of Ownership

This role spans two major areas of MongoDB's core server: 

• Replication: the replication protocol (elections, rollback, heartbeats), replica set configuration, oplog, read/write concern, startup recovery, distributed transactions, initial sync, etc
• Storage Engines: WiredTiger and the encrypted storage engine, durability guarantees, memory management (cache sizing, eviction), checkpointing and journaling, timestamp-based data visibility rules, and data validation, repair, and recovery tools, spanning multiple sub-teams within the Storage Engines organization

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 is an equal opportunities employer.

Req. ID: 1273421116

MongoDB is seeking an experienced Product Manager to own the strategy and execution for two tightly integrated layers of our core database: Replication and Storage Engines (WiredTiger). Together, these layers underpin MongoDB’s durability, availability, and performance for customers running mission-critical workloads.

This role spans two very different levels of customer visibility. Replication is, at its core, about keeping a distributed system in sync. Customer-facing concepts like failover, read concerns, and write concerns are how those guarantees surface. Customers understand and articulate those directly. WiredTiger internals like eviction, checkpointing, and cache management are invisible to customers, but are often blamed when "the system is misbehaving". You’ll need to move comfortably between both worlds: translating ambiguous customer symptoms into precise priorities for the storage engines team deep in the stack, while driving the replication roadmap and partnering with fellow database product managers on cross-cutting concerns.

We are looking to speak to candidates who are based in New York City or Seattle for our hybrid working model.

Responsibilities

• Own the product direction, roadmap, and execution plan for MongoDB’s replication and storage engine layers, ensuring we continue to deliver rock-solid durability, availability, and performance for mission-critical workloads
• Define the long-term roadmap for the storage engine (WiredTiger), balancing architectural investments against near-term escalation pressure
• Define and track measurable service-level objectives (SLOs) for replication lag, failover time, storage engine health and predictability, and customer data durability
• Distill ambiguous customer pain (e.g. "the system falls over" or "we see intermittent latency spikes") into actionable, scoped priorities for Storage Engines. Frame work in customer-outcome terms so the team can spot gaps independently
• Lead high-stakes escalations, coordinating with Support and engineering to resolve issues and reduce churn risk
• Drive improvements to the replication protocol, including elections, consensus, failover, read/write concern semantics, and distributed transaction consistency
• Own product direction for oplog, initial sync, elections, rollback, and replica set configuration
• Maintain clear ownership boundaries with the Storage Execution Product Manager
• Enable Sales, Support, Customer Success, and Product Marketing as the subject-matter expert for replication and storage engine reliability
• Partner with engineering leadership on quarterly planning, technical strategy, and project scoping

Requirements

• You can take a messy customer problem and turn it into something an engineering team can act on. When someone reports "intermittent latency spikes," you know how to dig in, ask the right questions, and trace it back to a root cause
• You are strong technically. You understand how distributed systems work, how databases store and replicate data, and you can hold your own in a room full of highly technical engineers
• You have a track record of making decisions and shipping in complex technical environments, not just analyzing
• You collaborate well with highly empowered engineering teams. This role influences through clarity and conviction, not authority
• You have experience working directly with enterprise customers on technical solutions
• You communicate complex concepts in a manner that is easily understood by multiple audiences, from deep-stack engineers to field teams to customers

Bonus Points

• Experience with replication protocols, distributed consensus, storage engines, or other core database internals (B-tree engines, write-ahead logging, cache management)
• Experience managing products where the end user has no direct visibility into the component. You're used to being the bridge between customer experience and deeply internal systems behavior
• A track record of handling complex customer escalations and turning them into product improvements
• 5 or more years of experience in product management or a deeply technical customer-facing role

Scope of Ownership

This role spans two major areas of MongoDB's core server: 

• Replication: the replication protocol (elections, rollback, heartbeats), replica set configuration, oplog, read/write concern, startup recovery, distributed transactions, initial sync, etc
• Storage Engines: WiredTiger and the encrypted storage engine, durability guarantees, memory management (cache sizing, eviction), checkpointing and journaling, timestamp-based data visibility rules, and data validation, repair, and recovery tools, spanning multiple sub-teams within the Storage Engines organization

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: 1273421116

Business Development at Brex:

The Business Development team drives step-change growth through revenue-driven, product-led partnerships. We identify, negotiate, and activate scalable, innovative distribution channels that deliver high-ROI outcomes across customer segments. The team architects and incubates new strategies, working cross-functionally, moving quickly, and taking full ownership. We are built for full-stack operators who dream big, execute fast, and shape strategy through impact (ARR).

What you’ll do:

Drive revenue growth by leading complex, partner-led enterprise sales cycles for Brex's embedded finance solution. You'll work closely with partner sales teams to identify high-value opportunities, develop joint value propositions, and then be in charge of closing large enterprise deals. This role combines strategic account management with hands-on sales execution - from opportunity qualification and solution design to executive-level negotiations and deal closure.

Key focus areas include:

• Managing complex, multi-stakeholder sales cycles alongside partner teams
• Building and executing joint go-to-market strategies with key partners
• Serving as a trusted advisor to both partner sales teams and end customers
• Navigating technical validation, pricing discussions, and contract negotiations
• Delivering tailored financial solutions that drive business transformation
• Achieving revenue targets through partner-led sales motions

Success in this role means consistently closing enterprise deals through partner channels while building scalable, repeatable co-selling motions that accelerate mutual growth. This is a quota-carrying role.

Where you’ll work:

This role will be based in our SF, Seattle, or NYC office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Partner-Led Enterprise Sales: Drive complex, high-value deals through partner channels, co-selling with partner teams to navigate enterprise sales cycles and build C-suite relationships at target accounts
• Pipeline & Partner Success: Build and execute joint go-to-market strategies with key partners, manage shared pipeline development, and ensure partner sales teams are enabled to identify and close Brex opportunities effectively
• Solution Architecture & Value Creation: Act as a financial solutions expert for both partner teams and end customers, helping structure deals that maximize value for all parties and drive transformation in enterprise financial processes
• Market & Partner Strategy: Identify and prioritize partner-led opportunities across verticals, develop competitive positioning for partner sales teams, and align go-to-market strategies with industry trends
• Partner Enablement & Team Leadership: Lead partner sales enablement initiatives, develop scalable co-selling motions, and collaborate with internal teams to optimize partner sales processes and outcomes

Requirements:

• 4+ years of closing experience in sales through channel partners, ideally in the B2B tech or financial services space
• Proven track record of exceeding sales quotas and building strong relationships with senior decision-makers in both partnerships and direct sales contexts
• Expertise in navigating complex negotiations and closing high-value deals 
• Ability to think strategically and execute tactically across both partnership and sales channels
• Self-starter with the ability to work in a fast-paced, evolving environment while maintaining focus on long-term goals
• Strong leadership and cross-functional collaboration skills

Compensation:

The expected OTE for this role is $185,320- $231,650 and for SLC it is $164,000 - $205,000. The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Location: Remote (For Non-Local) or Hybrid (Local to NYC area)

Position Summary:

Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why You’ll Love Working Here 

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Preferred Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience. 
• Desire to work at a health tech company. 
• Strong Python (Flask / SQLAlchemy) and React / Typescript experience. 
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing). 
• Experience with infrastructure as code using AWS, Terraform, or similar technologies. 
• Experience writing unit and integration tests. 
• Git expertise and experience working in a mono repo. 
• Able to demonstrate agency, urgency, and ownership over delivering quality work. 
• Strong written and verbal communication skills. 
• Previous Pharmacy Benefits Manager (PBM) experience is a plus. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

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

As a member of NLG Capital’s Commercial Real Estate team, this role supports the origination, underwriting, and closing of commercial mortgage investments on behalf of National Life Group. The Analyst will contribute to financial modeling, credit analysis, and market research to support investment decisions and ongoing portfolio management.

This position currently offers an onsite work schedule, with the expectation that you will be in the office four (4) days per week during onsite core days.  Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday.  The work schedule type and core days are subject to change with advance notification and manager discretion.

Essential Duties and Responsibilities

Origination & Underwriting

• Analyze and underwrite commercial mortgage loan opportunities, including cash flow modeling and debt sizing.
• Build and maintain financial models (cash flow projections, IRR, NPV, sensitivity analyses).
• Evaluate investments across property types, including multifamily, industrial, retail, office, and niche sectors.
• Assess key credit metrics such as DSCR, LTV, and debt yield.
• Perform sensitivity analysis on interest rates, vacancy, and exit assumptions.

Structuring & Execution

• Support loan structuring, including amortization, covenants, reserves, and pricing.
• Review third-party reports (appraisals, engineering, environmental, sponsor analysis).
• Analyze leases, operating statements
• Coordinate with legal, appraisal, and internal stakeholders throughout the closing process.
• Assist in preparation of credit memos and investment committee materials.

Portfolio Management & Reporting

• Maintain pipeline tracking and portfolio analytics.
• Support quarterly and annual portfolio reporting.
• Monitor loan performance, including covenant compliance and credit quality.
• Assist with risk rating assessments and internal reporting.
• Support asset management activities

Market Research & Risk Assessment

• Conduct market research on supply/demand dynamics, rent trends, and liquidity.
• Identify and evaluate risks, including tenant rollover, capital expenditures, and market conditions.

All other duties as assigned

Minimum Qualifications

• Bachelor’s degree in Finance, Real Estate, or related field and 2 or more years of related experience.
• Strong Excel skills, including pivot tables and financial functions, including NPV.
• Experience with financial modeling and underwriting.
• Understanding of real estate fundamentals and capital structures.
• Demonstrated understanding of capital market dynamics and pricing.
• Knowledge of, and experience in, structuring positions with the capital stack and relative value.
• Strong analytical, research, and problem-solving skills.
• Effective written and verbal communication skills.
• Results-oriented with strong attention to detail.
• Able to manage multiple priorities in a fast-paced environment.
• Collaborative, with the ability to work both independently and as part of a team.
• Demonstrates sound judgment, intellectual curiosity, and accountability.

Preferred Qualifications

• MBA with concentration in Finance, Real Estate, or related field.
• 3 – 5 years of experience in commercial real estate or related field.
• Experience using VBA in Excel.
• Experience with ARGUS CRE valuation software.

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 the Role

The Onsite Customer Growth team develops features that help Attentive’s customers grow through personalized experiences built directly on their websites. We focus on increasing list growth through investments in creative capabilities, experimentation, and AI-driven optimization. Our team builds the systems and product experiences that power onsite engagement for millions of users and help brands convert more visitors into subscribers and customers.

We’re looking for a Senior Software Engineer to help lead the design and development of the products and platform capabilities behind Attentive’s onsite growth experiences. This role can be oriented toward backend or full-stack engineering, depending on your strengths, but in either case you’ll be expected to own meaningful technical decisions, build scalable systems, and collaborate closely with product, design, data, and AI partners to deliver high-impact customer outcomes.

This hybrid role is based in our New York office, with in-office collaboration Tuesday through Thursday each week.

What You’ll Accomplish

• Design, build, and evolve scalable backend services, APIs, and user-facing product capabilities that power Attentive’s onsite growth products.
• Lead technical design for new features and platform improvements, making thoughtful tradeoffs around reliability, performance, maintainability, and speed of execution.
• Partner closely with product, design, AI, and data teams to develop intelligent, data-driven capabilities that improve performance and user experience for customers and end users.
• Anticipate future product and platform needs, and proactively design solutions that support team growth, product expansion, and increasing scale.
• Improve system observability, resiliency, and performance to ensure our onsite experiences remain fast, reliable, and effective at scale.
• Serve as a technical leader on the team by driving design discussions, raising the engineering bar in code reviews, and mentoring other engineers.
• Contribute to a strong engineering culture through high-quality implementation, pragmatic architecture, and a focus on measurable customer impact.

Your Expertise

• 5+ years of professional software engineering experience, ideally with strong experience building backend systems, product platforms, or customer-facing applications at scale.
• Strong proficiency in at least one modern programming language such as Java, or TypeScript
• Experience designing and operating distributed systems, APIs, and microservices, with a solid understanding of reliability, scalability, and performance.
• For backend candidates: deep experience building service-oriented systems and data-intensive applications.
• For full-stack candidates: strong backend fundamentals plus experience building high-quality frontend applications and collaborating closely on end-user experience.
• Experience with cloud infrastructure and modern developer tooling, such as AWS, Docker, Kubernetes, relational databases, caching systems, queues, or streaming platforms.
• Ability to translate business goals and product ideas into clear technical plans and execute effectively across functions.
• A track record of writing clean, maintainable, well-tested code and holding a high bar for production quality.
• Curiosity, strong collaboration skills, and a passion for building products that drive meaningful customer growth.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $170,000 - $230,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-AB2

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role, Mission or Department Overview

The Starter Kit team is dedicated to building intuitive and efficient interfaces for the new Scoop Publishing Platform which will allow our newsrooms to provide the best news coverage across the bundle. Our engineers keep both our newsroom and technology users top of mind. They work with our product and design partners to ensure functional needs are met across a variety of workflows. Meanwhile, they maintain a library of features that can be customized and built upon by any product team.

We are looking for a Senior Software Engineer with experience in both frontend UI/UX and backend APIs. This engineer will join our team and lead on challenging problems. You will also build these problems to bring the new publishing platform to all New York Times newsrooms. You will report to the Senior Engineering Manager, Starter Kit.

Responsibilities:

• Build features for the Starter Kit platform that satisfy user workflows and provide a great developer experience for product teams
• Write, test, debug, and deploy code across a variety of languages and frameworks including React and Go
• Work with the team to build components and systems that are scalable and fault tolerant
• Collaborate with Product and Design partners to translate requirements and mock ups into engineering tickets
• Grow the skills of colleagues through pairing, design reviews, and code reviews
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 5+ years of full-time software engineering experience working with technologies such as React, GraphQL, GCP or AWS, and CI/CD
• Full stack software development experience with demonstrated front end expertise
• Knowledge of software principles, application architecture, data structures, coding conventions, testing frameworks and security best practices
• Experience collaborating with partners and other engineering teams

Preferred Qualifications:

• Experience with backend technologies and building APIs in languages such as Go, Python, or Java
• Experience building software tools on top of existing platforms

#LI-Hybrid

REQ-020075

About the Role:

The New York Times is seeking a senior front-end developer with experience in agentic AI development to join one of several teams that make up the Messaging Platforms group.

Your work will directly empower the Times to deliver breaking news and engage millions of readers worldwide. As we expand and replatform the core tools used by our editors and partners, you will have a unique opportunity to build significant new capabilities within a mission-driven organization. You'll join a collaborative group of engineers, designers, and product managers who prioritize empathy, innovation, and a shared responsibility for our collective success.

Our front-end code is written in React, while most of our backend code is Go. Services are deployed using CI/CD tools like GitHub Actions, and our infrastructure, which is hosted in Google Cloud (GCP) and Amazon Web Services (AWS), is provisioned with Terraform.

Responsibilities:

• Help lead the effort to modernize front-end tools using agentic workflows to accelerate development cycles while maintaining high architectural standards.
• Provide front-end expertise and coaching on AI-assisted development, helping the team adapt their workflows to spend more time on system design and less on routine implementation.
• Contribute to the full development lifecycle of our products, performing activities related to design, development, testing, deployment, monitoring, within a collaborative, distributed team.
• Partner with engineers, designers, and product managers across the organization to build user-friendly messaging capabilities.
• Ensure code quality and architectural health through static analysis, automated testing, and optimization for agentic development patterns.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
• You will report to an Engineering Manager in the Messaging Platforms group.

Basic Qualifications:

• 5+ years of experience with front-end fundamentals (HTML/CSS/JavaScript/TypeScript), performance, accessibility, and best practices
• Expertise in modern frameworks (eg. React, Redux, CSS modules, ReactDOM)
• Proficiency with JavaScript tooling (eg. Vite, Babel, pnpm, Webpack) and Node.js/GraphQL
• 2+ years of full-stack experience, including back-end languages (Go preferred) and SQL
• Hands-on experience with agentic or AI-assisted coding tools (e.g., Claude Code or Cursor) including the ability to effectively direct, iterate on, and verify AI-generated output

Preferred Qualifications:

• Experience developing and maintaining custom AI agents or automated developer workflows
• Experience with evaluation frameworks for AI-generated code, including the use of automated checks, regression testing, or LLM-based grading to ensure architectural consistency at scale
• A nuanced understanding of the trade-offs and complexities involved in LLM orchestration, including a focus on cost, token usage, and the limitations of current agentic frameworks in front-end environments
• Experience building, operating, and monitoring web systems in GCP or AWS
• Experience with Prosemirror and/or Apollo

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019925

About the Role:

The New York Times is looking for a Senior Engineering Manager to lead our Integrated Messaging team within the Messaging Platforms group. This is a full-stack engineering team responsible for the end-to-end experience of our direct-to-consumer messaging. We build both the high-throughput delivery engines that power native push notifications for millions of readers and the internal applications that allow our newsroom and marketing partners to orchestrate these communications.

We are at an inflection point. As we evolve our messaging strategy, this team will lead the expansion into new channels like WhatsApp and SMS. As a Senior EM, you won't just manage a stable platform; you will design the team and the technology required to reach our audience wherever they are. You will oversee a diverse technical stack ranging from low-latency backend integrations to the user-facing tools that make our messaging platform powerful and intuitive.

You will join an organization that values empathy, collaboration, transparency, and diversity.

Responsibilities:

• Lead a Full-Stack Team: Manage a high-performing team of engineers (typically 7–12) working across the stack, from backend distributed systems to frontend management applications.
• Design Multi-Channel Growth: Guide the technical vision and roadmap for expanding our capabilities beyond native push into WhatsApp, SMS, or other emerging messaging channels.
• Balance Systems & Applications: Oversee the development of high-availability delivery services alongside the internal tools and UIs that our editorial and product teams use to reach readers.
• High-Stakes Delivery: Ensure the reliability and sub-second delivery of push notifications.
• Strategic Partnership: Partner with Product, Design, and Data counterparts to prioritize investments that balance immediate operational needs with long-term platform modernization.
• Group Leadership: Contribute to the broader Messaging Platforms group by leading cross-team technical or cultural programs alongside the Group EM cadre.
• Champion Excellence: Represent the team in high-level technical discussions, identifying risks and making calculated tradeoffs between feature velocity and platform stability.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
• You will report to the Director of Engineering for Messaging Platforms.

Basic Qualifications:

• 3+ years of experience as an Engineering Manager, with a proven track record of managing high-functioning teams.
• Full-Stack Leadership for High-Availability Systems: Experience managing cross-disciplinary engineers (Frontend, Backend, DevOps) and overseeing mission-critical production operations.
• Demonstrated experience in driving transformation, leading teams through changes in technical strategy, organizational structure, or product direction.
• Strong People Development Skills: A history of coaching, mentoring, and growing the careers of engineers at various levels.

Preferred Qualifications:

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019924

About the Role, Mission or Department Overview

As a Software Engineer on the Experimentation & Instrumentation team, you will build and maintain interfaces and golden paths that make it easy for product teams to instrument experiments and behavioral events and connect experiment outcomes to downstream user behavior and engagement metrics. You will work with Product, Data, and other engineering teams to deliver SDKs and interfaces that connect our products and systems to the data platform, powering data-informed decisions at scale.

This is a hybrid role reporting to the Senior Engineering Manager within the Data Platforms mission.

Responsibilities:

• Build services, SDKs, and interfaces that power experimentation and behavioral event instrumentation across our products.

• Partner with Product, Analytics, and other engineering teams to deliver roadmap work that improves how we run experiments and instrument user behavior data.

• Support the full experimentation and instrumentation stack, from event collection to data modeling and downstream usage, including changes to schemas and contracts.

• Build for reliability and observability, including monitoring, alerting, runbooks, and participation in incident response for the systems you own.

• Create clear documentation, examples, and integration guide that help engineers and partners use our tools.

• Contribute to code and design reviews and pair programming to improve code quality and maintainability across the team.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 3+ years of professional software engineering experience building backend or full‑stack services, data pipelines, or client-side SDKs.

• Proficiency in at least one modern programming language (for example, Java, Go, Python, or JavaScript/TypeScript).

• Experience with standard engineering practices, including automated testing, code review, CI/CD, and operating production systems.

• Familiarity with Agile software development practices.

• Break down complex problems and deploy incremental, high-quality solutions.

• Experience communicating blockers, updates and resolutions to customers and other partners.

Preferred Qualifications:

• Experience working with data‑intensive or event‑driven applications, such as logging, analytics, or experimentation systems.

• Experience operating in a dual-cloud environment (GCP/AWS), including running production services in one or both clouds.

• Experience designing or maintaining SDKs or shared libraries used by other engineering teams.

• Experience designing and evolving data schemas or event contracts in collaboration with analysts and product partners.

• Experience with a data warehouse like BigQuery, Snowflake or Redshift.

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019838

About the Role

The Reflections team at The New York Times is looking for a Backend Software Engineer. You will be part of a diverse team that includes native mobile engineers, web/backend engineers, QA, product managers, designers and data experts.

The Reflections team focuses on personalizing the Times experience, making it feel "yours." We aim to help users effortlessly discover and regularly engage with the journalism they value most, strengthening. and deepening their relationship with the Times.

This role is hybrid, located at our New York City headquarters, and typically requires coming into the office two days per week.

Responsibilities:

• Collaborate with design, product, web, backend, and native mobile engineers to refine requirements and develop new features across our platform.
  
  
• Design, build, and maintain backend services primarily in Go (Golang), developing scalable REST or GraphQL APIs and writing high-quality, production-ready code following engineering best practices.
  
  
• Develop and improve Go-based services and microservices, integrating with databases, internal systems, and cloud infrastructure.
  
  
• Contribute ideas that help shape the direction of our products and actively participate in solving meaningful technical challenges.
  
  
• Participate in technical discussions and architecture decisions with native mobile, web, and backend engineers, as well as owners of internal and external dependencies.
  
  
• Work across multiple parts of the stack when needed while maintaining a strong focus on backend service development in Go.
  
  
• Provide production support by participating in on-call rotations for the services and systems we build.
  
  
• Contribute to iteration on internal team processes and norms.
  
  
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
  
  
• You will report to the Engineering Manager
  
  

Basic Qualifications:

• 3+ years of full-time experience developing backend APIs using Go (Golang), including building REST or GraphQL services in production environments. Experience with additional backend technologies such as TypeScript, Node.js, or Express is a plus.
  
  
• 3+ years of experience working with SQL or NoSQL databases, such as PostgreSQL or DynamoDB, including designing schemas, writing queries, and integrating data storage with backend services.
  
  
• 3+ years of experience building and deploying services on public cloud platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  
  
• Experience working in Agile software development environments, collaborating with cross-functional teams through iterative development, testing, and release cycles.

Preferred Qualifications:

• Familiarity with GraphQL.
  
  
• Familiarity with containers and container orchestration systems like Kubernetes, Docker.
  
  
• Familiarity with CI/CD techniques and tooling (e.g. Jenkins, drone), automated testing and deployments, and other DevOps practices.
  
  
• Understanding of caching and content delivery.
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. This role also requires availability to our core working hours which are 10am - 6pm ET.

#LI-Hybrid

REQ-019607

About the Role

The New York Times is hiring a Software Engineer to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

We're looking for a prototyper: someone who moves fast, ships real things, and has a genuine instinct for what makes a product feel good. You'll work at the intersection of applied A.I. and consumer product. You'll turn emerging capabilities — language models, content embeddings, semantic search — into features that help Times readers discover, understand, and engage more deeply with our content. You'll be working inside an organization with a strong culture of editorial judgment and independence.

You need a track record of shipping, a strong command of the modern web stack, and real hands-on time building with LLMs in production.

This is a hybrid role based in our New York City headquarters, reporting to the VP of Engineering, New AI Products and Platforms. You can typically expect to come into the office 2+ days per week.

Responsibilities:

• Prototype, iterate, and ship LLM- and embedding-powered reader experiences from early concept through production, in conjunction with other engineers and cross-functional peers
• Build across the full stack: Node.js/TypeScript backends, React frontends, and A.I. integrations connecting them
• Build net-new A.I. features and integrate them into existing Times systems and APIs — knowing when to build from scratch and when to wire things together cleanly
• Write, test, and refine prompts and retrieval pipelines; treat prompt engineering as a first-class engineering discipline
• Instrument your features with evaluations, engagement signals, and performance monitoring, and use them to make things better
• Work closely with product managers, designers, journalists, and senior engineers to translate editorial goals into working product
• Contribute to shared practices around evaluation, responsible A.I. use, and what "good" looks like inside an organization where judgment and independence are taken seriously
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 2+ years of software engineering experience with demonstrated ability to ship consumer-facing features
• Hands-on experience building with Large Language Models in a real product context — not just side projects
• Full-stack fundamentals: Node.js or TypeScript on the backend, React on the front end
• Experience navigating codebases and working within established backend infrastructure
• Proficiency in GenAI‑assisted developer tooling (e.g., Cursor, Copilot, or Claude Code) and passion for improving software delivery by leveraging these tools

Additional Qualifications:

• Experience working across both greenfield product development and integration with legacy or third-party systems
• Additional backend experience in Python, particularly for data pipelines or model integrations
• Experience with semantic search, embedding-based retrieval, or personalization systems
• Experience building agentic software — systems where models plan, take actions, or operate across multiple steps; complexity matters more than tenure
• Familiarity with evaluation frameworks or A/B testing for A.I. features
• Background in product environments where editorial or institutional judgment shapes what you ship

#LI-Hybrid

REQ-019883

AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As an AI Software Engineer, you will build applied AI systems that move from prototype to production. You will bring deep technical capability, strong product judgment, and clear communication to decisions across prompting, fine-tuning, RAG, MLOps, and full-stack product delivery. You will partner closely with product and design to frame the right problems and ship AI-native experiences that hold up for real users.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI-native product experiences, including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure systems are reliable enough for real users.
• Technical decision-making: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach. You will explain those tradeoffs clearly to engineers and non-engineers.
• Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying failure modes early. You will catch hallucinations, measure quality, and implement guardrails that hold up under real-world load.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems operate effectively in live production environments.
• Full-stack product delivery: Contribute across the stack when needed because the team ships products, not just models. You will help get complete user-facing AI experiences into customers’ hands.
• Product partnership: Partner closely with product and design to frame problems before implementation begins. You will push back when the framing is wrong and help the team focus on what should be built, not only how to build it.
• Research and tooling awareness: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and apply them thoughtfully.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Demonstrated ability to apply established AI engineering patterns to well-scoped problems and ship them reliably in production.
• End-to-end ownership of features from design through deployment and monitoring within a defined problem space.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the ability to make informed decisions about when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
• Strong full-stack fundamentals and comfort working across backend and frontend systems to ship complete user-facing AI products.
• Exceptional communication skills, with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product thinking, including the judgment to ask whether something should be built before deciding how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $178,000 - $195,000.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Sr. AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As a Sr. AI Software Engineer, you will sit at the intersection of deep technical capability and strong product judgment. You will design and ship applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, from prototype through production. You will make principled technical decisions, evaluate model behavior rigorously, and communicate tradeoffs clearly to engineers and non-engineers alike.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI systems including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure it can hold up in real customer environments.
• Technical decision-making: Make principled decisions on when to prompt, when to fine-tune, and when to use a different tool entirely. You will explain these tradeoffs clearly so the team can move quickly without sacrificing quality.
• Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and catching hallucinations early. You will implement guardrails that can withstand real-world load and production use.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will help ensure AI systems are observable, efficient, and dependable in production.
• Full-stack product shipping: Contribute across the stack when needed because this team ships products, not just models. You will work across backend and frontend to get AI-powered experiences in front of users.
• Product partnership: Partner closely with product and design to frame problems well before writing code. You will push back when the framing is wrong and help the team focus on what should be built, not just what can be built.
• Research and tooling awareness: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and apply them thoughtfully.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Strong technical depth in system design, including choosing the right architecture, identifying failure modes early, and making tradeoffs that hold up across the product lifecycle.
• Experience owning technical quality beyond your own features, including setting standards, catching problems in review, and improving shared infrastructure and tooling.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the judgment to decide when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
• Strong full-stack fundamentals with the ability to work across backend and frontend systems to ship complete, user-facing AI products.
• Exceptional communication skills with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product thinking, including the ability to ask whether something should be built before deciding how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $209,000 - $235,000.

Benefits: Highly competitive, employer-heavy coverage, including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Staff AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As a Staff AI Software Engineer, you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users.
• Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers.
• Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready.
• Full-stack delivery: Contribute across the stack when needed to get complete AI products in front of users. This team ships products, not just models, and you will help close the gap between technical capability and user experience.
• Product partnership: Partner closely with product and design to frame problems well before implementation begins. You will push back when the framing is wrong and help the team stay focused on what is worth building.
• Technical leadership: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and help raise the technical bar.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Staff AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Demonstrated ability to set technical direction for AI systems across teams, establish architectural patterns, make foundational model strategy decisions, and raise the bar for AI engineering quality.
• Experience owning outcomes across team boundaries, including identifying capability gaps, driving alignment across engineering and product, and influencing how a broader organization approaches AI.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the ability to make informed decisions about when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in live environments.
• Strong full-stack fundamentals and comfort working across backend and frontend systems to ship complete, user-facing AI products.
• Exceptional communication skills, with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product judgment and the ability to evaluate whether something should be built before determining how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting-based approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI product design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $250,000 - $280,000.

Benefits: Highly competitive, employer-heavy coverage, including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. 

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

We are a Data Science team at Oscar dedicated to improving the Member Experience by embedding advanced analytics into our core technology and operations. We focus on building data products that bridge the gap between complex health insurance workflows and seamless, member-centric service.

You will drive the evolution of our member-facing tools by developing the LLM frameworks and ML models that underpin our automated support systems and digital interfaces. You will be responsible for evaluating both tool performance and member behavior to surface deep insights that inform our broader product and operations strategy.

You will report into the Lead Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• Works with team and manager to impact longer term strategies and roadmap
• Sets shorter term roadmap for team
• May manage data scientists and/or analysts
• Interacts and collaborates closely with data and business counterparts across functional areas
• Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned 

Requirements:

• 4+ years of industry or other quantitative technical fields (which may include academia).
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Advanced degree in a quantitative or technical field
• Experience in the healthcare, finance and/or insurance industries
• Experience evaluating consumer-facing digital products in collaboration with Product and Engineering teams

Hi, we're Oscar. We're hiring an Analytics Engineer I to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Analytics Engineer I designs, builds, and maintains dimensional models and data transformations that convert raw operational data into reliable, well-structured analytical assets. You’ll work within Oscar’s unified data foundation in dbt, partnering with domain experts and stakeholders to capture business logic and translate it into dimensional models that serve analytics use cases across the organization. Under the guidance of more senior Analytics Engineers, you’ll build and maintain models, implement automated tests to ensure long-term data product health, and contribute to the semantic layer that powers enterprise business intelligence. This is a hands-on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment.

You will report into the Associate Director, Data Science. 

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.

Pay Transparency: The base pay for this role is: $106,812 - $140,190.75 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Demonstrates a strong working knowledge of Oscar's analytics technologies and tools as well as the breadth of content contained within.
• Contribute to the development and documentation of best practices for engineering and analytics development, consistent with industry standards and internal guidelines.
• Under the guidance of more senior Analytics Engineers, partner with Subject Matter Experts and Business stakeholders to explore data, define business requirements, design and implement solutions for one or more data transformation and/or downstream semantic layer systems.
• Advance the Analytics Engineering roadmap by executing on small-to-medium projects with minimal oversight
• Contribute to the administration of the analytics platform, including but not limited to active participation in support channels and actioning  access requests.
• Leverage a working knowledge of existing data quality checks as well as monitoring and alerting pipelines to perform Root Cause Analyses of data defects as needed and escalate to the appropriate team when warranted.

Requirements:

• 1+ years of experience in Analytics Engineering, Data Science, or a related field.
• 1+ years of experience working with SQL.
• 1+ years of experience developing in a semantic modeling language (e.g. LookML).
• 1+ years of experience developing within a modern data transformation tool like DBT.
• 1+ years of experience with cloud database tools (GCP, AWS, Azure).

Bonus points:

• Experience working with healthcare or insurance industry data, analytics, and reporting.
• Experience with Google Cloud Platform and dbt.
• Experience building dimensional models (star schemas, slowly changing dimensions).
• Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders.

Location: New York City | Team: Trading Technology | Type: Full-Time

As a market leader serving hedge funds, asset managers, and financial institutions, we are building a next-generation platform for high- and low-touch trading workflows across spot, derivatives, and structured products.

The Role

We’re looking for a Senior Trading Systems Developer with strong experience in low-latency Java and/or Rust to architect and build our next-generation trading applications and execution platform. This platform will be central to supporting complex electronic trading algos, such as automated market making and quant trading strategies.  You will work on the core components that sit on the hot path of our execution stack — including market-data ingestion, order management, risk checks, session control, and high-throughput venue connectivity. 

You’ll be designing and developing scalable, low-latency components that are resilient under heavy load and tightly integrated with our execution stack and internal trading infrastructure.

What You’ll Do

• Responsible for development of low latency services on Aeron, including OMS/EMS components, market-data pipelines, and venue gateway connectivity.
• Integrate with exchange APIs using FIX, REST, WebSocket, and venue-specific protocols.
• Model complex order lifecycles, state machines, and execution workflows into resilient, observable, fault-tolerant services.
• Design and maintain SBE message schemas and high-throughput message-bus communication on Aeron.
• Own full SDLC for your domain: design, test, ship, monitor
• Collaborate closely with quant, trading, infra, and data teams to ensure the execution stack meets performance, safety, and reliability targets.
• Operate in a fast-paced Agile environment, contributing to team structure, sprint planning, and execution cadence
  
  

What We’re Looking For

• 5+ years of experience in trading systems, ideally with prior design ownership
• Strong background in Java (11+) and/or Rust, including performance profiling, concurrency, lock-free programming, GC tuning, or memory-safe systems design.
• Experience in building EMS and execution systems that operate in microseconds latency rang
• Deep understanding of order state machines, execution workflows, and institutional trade lifecycle mechanics
• Strong experience with Aeron or other high-throughput messaging frameworks.
• Hands-on experience integrating with FIX, REST, and WebSocket APIs.
• Strong experience designing normalized schemas and working with relational databases (e.g., Postgres, MySQL)
• Experience with low-touch and high-touch trading workflows (MM, RFQ, internalization).
• Experience with middle and back office, such as booking, settlement and clearing
• Experience with Agile delivery, sprint planning, and team leadership
• Passion for clean architecture, maintainability, and performance
  
  

Bonus Points

• Prior experience in crypto markets or electronic trading in traditional finance.
• Experience integrating execution platforms with strategy containers, risk engines, or smart order routers.
• Knowledge of FIX protocol nuances and connectivity to major exchanges.
• Exposure to container orchestration, service mesh, or hybrid deployment architectures.

The base pay for this role is expected to be between $179,000 and $226,000 in New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

• Official Communication: We only communicate through official email addresses ending in @falconx.io. If you receive an email from a public domain (Gmail, Yahoo, etc.) or a lookalike domain, it is not from us.
• Official Channels: We will never conduct interviews via Telegram, WhatsApp, or Signal. Our process involves video or in-person meetings.
• No Financial Requests: FalconX will never ask you for money, "equipment fees," "training deposits," or crypto transfers at any stage of the recruitment process.
• Verification: All legitimate FalconX openings are listed on our official careers site: [Link to falconx.io/careers].

About the Team and 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 Strategies and Cortex team is focused on building personalized, automated investing experiences that help customers grow their wealth over time. Strategies enables investing on autopilot through advisory services, while Cortex powers intelligent insights across stocks, crypto, and portfolio experiences. The team delivers regulated financial guidance through scalable systems, including tax optimization, portfolio insights, and in-app dashboards that help customers make informed decisions!

As an Engineering Manager, you will lead a team responsible for building and scaling these customer-facing investing products. You will work closely with product and design partners to define requirements, deliver new features, and improve core systems that support personalized financial advice. This role combines hands-on technical leadership with team development, enabling you to guide architecture decisions, support engineers in their growth, and deliver new product capabilities from early concept through launch. You will play a key role in shaping both product direction and engineering practices across a rapidly evolving space!

This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do
 ● Lead and support a team of engineers by providing technical direction, regular feedback, and clear growth plans
 ● Work with product and design partners to define requirements, scope milestones, and deliver features that support personalized investing experiences
 ● Guide the design and development of backend or full-stack systems that power advisory tools, tax workflows, and portfolio insights
 ● Establish engineering processes that support reliable delivery, maintainable code, and system scalability as products expand to new markets
 ● Review architecture decisions and help the team resolve complex technical challenges

What you bring
 ● 1–3 years of experience managing engineers, including supporting performance and career development
 ● Experience building and launching early-stage consumer products or contributing to product-focused platform systems
 ● Strong backend or full-stack technical background, with the ability to review system design and guide architectural decisions
 ● Experience working on teams delivering customer-facing software at scale, ideally in organizations with 50+ engineers
 ● Ability to translate business goals into clear technical plans with measurable milestones

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.

The Role

We are currently seeking a full stack software engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll join a full-stack team of engineers and collaborate closely with Product and Design to deliver client-facing features that will set us apart from our competitors. 

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 $107,000 - $168,000 (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

• Collaborate with product, design, engineering, and key clients to define and deliver  solutions that support and streamline user workflows
• Work alongside senior software engineers to deliver features end to end, with strong opportunities for ownership
• Coordinate with our web platform and design system teams to ensure our product is a seamless part of the Addepar user experience
• Engage in the budding inner-source culture within Addepar, fostering standardization across the myriad of React, terraform and Python codebases within the company

Who You Are

• Bachelor’s degree in Computer Science or equivalent experience
• 2+ years full-stack development experience OR
• 1+ years experience with front end development technology
• 1+ years backend development experience
• You care about delivering quality and value to clients in an agile manner
• Python or Java development experience a big plus
• Experience with React, web components, Svelte, and/or Ember a big plus
• Full-stack, product engineering experience a big plus
• Experience with gen AI for coding a plus