By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com  

THE ROLE:

We are hiring a Vice President of Sales to own our relationship with WPP. You will be the senior face of Genius Sports across GroupM and the broader WPP family incl Mindshare, Wavemaker, EssenceMediacom, Ogilvy, VML, Choreograph, and affiliated specialty units. You will own the number for everything Genius does inside that ecosystem.

WHAT YOU’LL DO

• Own and exceed the WPP holding-company revenue number, including new business across WPP brand clients and expansion of existing investments.
• Build a multi-year joint business plan with GroupM and key WPP units; align Genius commitments to WPP's brand portfolio, tentpole moments, and product priorities.
• Personally lead the largest, most strategic deals; running discovery, ideation, pitch, negotiation, and contracting at the holdco and agency-of-record level.
• Drive activation across the full Genius product suite (Full Arc, The Moment, The Fanbase) and across every channel WPP buys: CTV, programmatic, social, audio, and DOOH.
• Build and own senior relationships across WPP; Chief Investment Officers, Group Investment Directors, Heads of Strategy, Heads of Programmatic, Connections Planning leads, and innovation/specialty practice leaders.
• Map and multi-thread the WPP organization: investment teams, planning teams, programmatic, data/specialty units (Choreograph), and brand teams at the agency-of-record level.
• Serve as the executive escalation point for WPP across all Genius products, with executive sponsorship from our SVP, Advertising and CRO.
• Coordinate with Genius leadership on joint partnership announcements, upfront commitments, and strategic co-marketing moments.
• Lead and coach a small, high-leverage support team (1–3 Account Directors / Strategic Account Managers) covering day-to-day workstreams across WPP agencies.
• Quarterback cross-functional pods inside Genius incl Marketing, Product, Ad Ops, Insights and Legal to deliver against WPP's needs end-to-end.
• Run a tight weekly operating cadence: pipeline reviews, deal inspection, forecast calls, and account reviews grounded in deal data.
• Operate the CRM and forecast as a discipline, not a chore; deliver a forecast leadership can trust within ±10%.
• Represent Genius Sports at the WPP-attended industry moments; Cannes Lions, Possible, Advertising Week, IAB ALM and at WPP's internal client and partner summits.

WHAT YOU’LL BRING:

• 10+ years selling advertising, ad-tech, or media to agencies, with deep experience inside the WPP ecosystem (GroupM, Mindshare, Wavemaker, EssenceMediacom, Ogilvy, VML, or affiliated units).
• Track record of owning a holding-company-level number, landing and growing eight-figure annual partnerships at a global holdco.
• Existing relationships at WPP brand clients (CPG, QSR, auto, financial services, telco).
• Strong, current senior relationships at WPP
• Demonstrable success negotiating upfront commitments, joint business plans, or master service agreements at the holdco level.
• Deep fluency in the modern media stack: CTV, programmatic, social, addressable, attention/measurement, and how WPP's specialty units (Choreograph, GroupM Nexus) operate.
• Comfort selling complex, data-driven products. You can make signal-based, moment-based advertising feel simple to a planner who has 11 other meetings that day.
• Operating discipline: forecast accuracy, CRM (HubSpot or Salesforce), pipeline management, and a real point of view on holdco account management.

IT WILL BE A BONUS IF YOU: 

• Prior experience as a holding-company lead at a major sports, media, or ad-tech company.
• Background in CTV, programmatic, or attention/outcomes-based media sales.
• Experience selling sports media, sports data, or fan-engagement products to WPP specifically.

The annualized base salary for this role ranges from $220,000 to $240,000 USD and includes eligibility for additional variable compensation. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

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.

Role summary

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

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

What you’ll own (key responsibilities)

Demand Forecasting

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

Staffing & Resource Planning

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

Opportunity Forecast & Ingest

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

Account Intelligence & Systems Enablement

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

About Sovrn

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

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

Through Software products and Data solutions we help our customers:

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

About the Role

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

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

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

What you'll be doing:

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

A successful candidate will have:

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

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

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

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

Compensation and Benefits

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

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

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

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

Recruitment Agencies

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

About Sovrn

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

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

Through Software products and Data solutions we help our customers:

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

About the Role

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

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

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

What you'll be doing:

Data Platform & Architecture

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

AI & Agentic Engineering Leadership

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

Collaboration & Mentorship

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

A successful candidate will have:

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

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

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

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

Compensation and Benefits

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

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

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

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

Recruitment Agencies

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

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.

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

Agentic payments is a team that’s building news API and integration experiences for agentic commerce online. We think that the proliferation of consumer-facing AI experiences will unlock new ways that consumers buy things online, and our existing payments experiences need to evolve to new commercial models that cutting-edge builders are starting. Our first launch, Instant Checkout in collaboration with OpenAI, took the industry by storm and we’re bringing experiences like that to the entire universe of AI agents, and sellers.

What you’ll do

As an Engineering Manager on Agentic Commerce, you’ll own the shaping and delivery of transformative products that redefine how commerce works, making it more fluid, automated, and aligned with user intent. You’ll collaborate closely with product management, design, data science, and marketing to unlock new opportunities for our customers and partners globally.

Our north star provides a new integration shape for AI agents who are looking to build agent-powered online commerce experiences, via their Stripe integration. They will have access to our entire suite of connected sellers, and can focus on the experience with the end-user. Enabling an AI agent to do this requires new API primitives, new dashboard surfaces, and deep thought about what financial and e-commerce complexity Stripe can simplify on their behalf. 

Responsibilities.

• Build full stack solutions across Stripe's ecosystem, including back end services, dashboard interfaces, money movement systems, and integrations with other Stripe primitives
• Partner deeply with product management and design to ship high impact features that increase user autonomy and reduce friction.
• Strong analytical skills: comfort diving into data to test hypotheses and make informed trade-offs. Comfortable setting success metrics for the team to ensure that our solutions are enterprise grade out of the box and can meet Stripe’s reliability SLOs quickly.
• Collaborate cross-functionally across Stripe’s broader platform and product teams to integrate agentic commerce capabilities seamlessly.
• Engage directly with users (particularly large enterprises) to understand their business needs and translate requirements into novel product shapes.

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 engineering experience with a computer science background with hands on development expertise
• Proven experience coaching and developing senior and staff level individual contributors
• Demonstrated experience of leading initiatives that touch large engineering organizations, spanning multiple teams to influence tech roadmap planning and execution
• Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
• Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts
• Deep empathy for users balancing autonomy and guidance in digital commerce experiences.

Preferred qualifications

• 5+ years of engineering management experience
• Experience building APIs or new integration experiences for users, several of them being enterprise grade
• You’ve been on the found team of a business / startup, taking a product from 0-1
• Experience in eCommerce
• AI-native and very comfortable autonomously solving problems with agentic AI tools

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

Who we are

About Stripe

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

About the team

The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently, create new payment and payout methods, and utilize their vaulted credentials across the internet. 

The team is looking for an engineering leader that is able to be both technically involved as well as engaged in developing the strategy for the organization and the people.

What you’ll do

We are seeking an experienced Engineering Manager to lead the team at the forefront of delivering best-in-class Checkout services that power Elements with CheckoutSession and define and drive our payment integrations into the future. You will work closely with Optimized Checkout teams, playing a critical role in owning the strategy and execution of our core Checkout primitives. Your leadership will ensure we balance rapid innovation with the five-nines reliability required to support the world's largest enterprises and the growing global economy.

This is a role for a strategic leader who excels at navigating complex technical and product challenges. You will drive the evolution of our Checkout services, helping to abstract immense complexity into simple, powerful integrations for our users. Beyond the immediate technical goals, you will be a cultural pillar for the team, mentoring the next generation of technical leaders and shaping an engineering and product vision that defines the future of commerce.

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests
• Debug and solve critical production issues across services and multiple levels of the stack
• Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision. 
• Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter
• Arbitrate critical decisions correctly that fully consider software best practices, Stripe system realities, and numerous stakeholders’ preferences and concerns
• Collaborate with stakeholders across the organization such as experts product, design, infrastructure, and operations
• Teach and mentor the next generation of technical leaders at Stripe

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

• 3+ years of experience in an engineering management role.
• 8+ years of full-time software development experience.
• Demonstrated track record of successfully hiring, developing, and mentoring engineers.
• Ability to lead by example in fast-paced, high-impact, and ambiguous environments.
• Commitment to high operational rigor when working with production systems.
• Experience building extensible software solutions that scale with business growth.
• Adept at thriving in a collaborative, cross-functional, and cross-timezone environment, while fostering a positive team culture.

Who we are

About Privy

Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. By leveraging modern cryptography, we shift the status quo around digital ownership and protect the accounts and assets of millions of users.

Learn more about Privy: Privy and Stripe: Bringing crypto to everyone

Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users.

What you’ll do

We're looking for an exceptional Forward Deployed Engineer to join our team and be the primary technical owner for building out new capabilities with Privy's most important customers. In this role, you will combine technical expertise with a deep understanding of customer and business objectives to architect, develop, and deploy software features that address customers’ needs and evolve the capabilities of Privy’s core products. Customer obsession is a core part of Privy’s culture. You’ll work closely with fellow engineers, product, and business teams to ensure Privy's customers achieve their desired outcomes and are delighted by our products.

Responsibilities 

• Work directly with customers to understand their technical and operational objectives, scope requirements, and prototype and propose software solutions
• Design, code, and launch features that improve and innovate on Privy’s core product using tools like Typescript, React, and NextJS, and fully owning end-to-end development
• Drive product deployments, including configuration, testing, and troubleshooting
• Champion customer success, ensuring customer feedback and pain points are understood, prioritized, and pursued by the team
• Dive deep into customer codebases to understand product usage, friction points, and uncover opportunities for improvements
• Partner with internal stakeholders to continuously align product roadmap and strategy with customer needs and objectives

Who you are

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

Minimum requirements

• 5+ years of professional, hands on full-stack development experience with languages such as JavaScript, TypeScript, React, Python, Go, or Java
• Excel at rapid prototyping while maintaining appropriate quality standards
• Superb problem solving skills and ability to understand the product and business side of development (in other words, you see the big picture!)
• Experience building and owning features end-to-end
• Excellent ability to communicate and collaborate with both technical and non-technical stakeholders
• A passion for handling ambiguity and picking up new technologies, frameworks, and tools
• An entrepreneurial and high ownership mindset
• A desire for impact and a deep sense of urgency for your work

Preferred qualifications

• Written open-source developer tooling
• Published your work (code, presentations, papers, blog posts, etc.)
• Experience building web3 applications

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

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

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Hi, we're Oscar. We're hiring a Director, Managed Business Services to join our 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:

You will be the primary architect of our global outsourcing strategy and be responsible for the end-to-end health of our outsourced ecosystems. This service covers multiple contact center, business process and configuration functions and works with multiple vendors across several countries. This strategic leadership role designs, implements, and governs external operations to ensure they align with company quality and compliance standards, cost objectives, and customer experience goals.

You will report into the SVP, Insurance Operations

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $147,549 - $193,658 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 ongoing analysis and cross-functional framework to determine which business functions are optimized for outsourcing versus internal retention.
• Design and execute an operating model that supports scalability, ongoing risk mitigation, and the execution of critical business initiatives across a matrixed organization.
• Drive core business transformation by identifying emerging marketplace trends and shifting the outsourcing model from transactional tasks to transformational outcomes.
• Align service provider visions with long-term corporate goals to ensure flexibility and growth as market demands change.
• Drive the end to end selection process, in partnership with Procurement and operational leaders, including RFP leadership, vendor vetting, and onboarding of partners that align with company scale and culture.
• Partner closely with Procurement to identify and execute optimal Master Service Agreements (MSAs) and Statements of Work (SOWs) while monitoring value delivery and ROI.
• Negotiate matters of significance with senior management and external executives to ensure favorable commercial terms and operationally effective programs.
• Ensure the establishment and monitoring of rigorous Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) focused on financial accuracy, productivity, and member experience.
• Perform ongoing operational governance by preparing consolidated performance reports that provide actionable insights and root-cause identification for issues.
• In partnership with finance, track ROI on outsourcing initiatives. Ensure meticulous billing analysis and the identification of opportunities for long-term cost savings.
• Set and enforce rigorous standards for all offshore and nearshore sites to ensure total adherence to HIPAA, CMS regulations, SOC2, and data privacy requirements.
• Partner with internal Audit, Security, and Compliance departments to lead the operational response to any vendor-side audits or data incidents.
• Lead the transition and change management of new work streams, including the creation of documentation, training protocols, and workflow design.
• Act as the primary bridge between internal departments and external partners to ensure seamless knowledge transfer and brand consistency.
• Create an attractive value proposition for vendor staff to minimize turnover, preserve institutional knowledge, and ensure external teams are educated on company priorities.

Requirements:

• Bachelor's Degree in Business, Operations or relevant field
• 10+ years in Insurance Operations
• 8+ years working with teams in multiple locations and within multiple disciplines
• 8+ years of coaching and developing leading cross-functional people and teams
• 6+ years of experience in LEAN, Six Sigma, or other improvement methodologies
• 6+ years of experience leading large-scale implementations or expansion implementations across multiple site locations or business units
• 5+ years of experience in procurement processes, including negotiating and contracting BPO services
• 5+ years managing 3rd-party BPO/ITO relationships for major functions in insurance operations.
• Strong legal and commercial acumen with experience in multi-million dollar contract negotiations.
• Ability to influence internal/external and onshore/offshore leadership

Bonus points:

• MBA or relevant advanced degree
• 10+ years of experience on Insurance Payer side
• Advanced experience with Procurement or Contract Management functions
• Advanced experience in healthcare
• Experience managing international teams across different time zones (APAC, LATAM, EMEA).
• Proven track record of scaling an outsourcing program from "scratch" to a global footprint.

Hi, we're Oscar. We're hiring a Director, Managed Business Services to join our 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:

You will be the primary architect of our global outsourcing strategy and be responsible for the end-to-end health of our outsourced ecosystems. This service covers multiple contact center, business process and configuration functions and works with multiple vendors across several countries. This strategic leadership role designs, implements, and governs external operations to ensure they align with company quality and compliance standards, cost objectives, and customer experience goals.

You will report into the SVP, Insurance Operations

Work Location: This position is based in our Tempe, Arizona 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: $147,549 - $193,658 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 ongoing analysis and cross-functional framework to determine which business functions are optimized for outsourcing versus internal retention.
• Design and execute an operating model that supports scalability, ongoing risk mitigation, and the execution of critical business initiatives across a matrixed organization.
• Drive core business transformation by identifying emerging marketplace trends and shifting the outsourcing model from transactional tasks to transformational outcomes.
• Align service provider visions with long-term corporate goals to ensure flexibility and growth as market demands change.
• Drive the end to end selection process, in partnership with Procurement and operational leaders, including RFP leadership, vendor vetting, and onboarding of partners that align with company scale and culture.
• Partner closely with Procurement to identify and execute optimal Master Service Agreements (MSAs) and Statements of Work (SOWs) while monitoring value delivery and ROI.
• Negotiate matters of significance with senior management and external executives to ensure favorable commercial terms and operationally effective programs.
• Ensure the establishment and monitoring of rigorous Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) focused on financial accuracy, productivity, and member experience.
• Perform ongoing operational governance by preparing consolidated performance reports that provide actionable insights and root-cause identification for issues.
• In partnership with finance, track ROI on outsourcing initiatives. Ensure meticulous billing analysis and the identification of opportunities for long-term cost savings.
• Set and enforce rigorous standards for all offshore and nearshore sites to ensure total adherence to HIPAA, CMS regulations, SOC2, and data privacy requirements.
• Partner with internal Audit, Security, and Compliance departments to lead the operational response to any vendor-side audits or data incidents.
• Lead the transition and change management of new work streams, including the creation of documentation, training protocols, and workflow design.
• Act as the primary bridge between internal departments and external partners to ensure seamless knowledge transfer and brand consistency.
• Create an attractive value proposition for vendor staff to minimize turnover, preserve institutional knowledge, and ensure external teams are educated on company priorities.

Requirements:

• Bachelor's Degree in Business, Operations or relevant field
• 10+ years in Insurance Operations
• 8+ years working with teams in multiple locations and within multiple disciplines
• 8+ years of coaching and developing leading cross-functional people and teams
• 6+ years of experience in LEAN, Six Sigma, or other improvement methodologies
• 6+ years of experience leading large-scale implementations or expansion implementations across multiple site locations or business units
• 5+ years of experience in procurement processes, including negotiating and contracting BPO services
• 5+ years managing 3rd-party BPO/ITO relationships for major functions in insurance operations.
• Strong legal and commercial acumen with experience in multi-million dollar contract negotiations.
• Ability to influence internal/external and onshore/offshore leadership

Bonus points:

• MBA or relevant advanced degree
• 10+ years of experience on Insurance Payer side
• Advanced experience with Procurement or Contract Management functions
• Advanced experience in healthcare
• Experience managing international teams across different time zones (APAC, LATAM, EMEA).
• Proven track record of scaling an outsourcing program from "scratch" to a global footprint.

About the Role

Flex is seeking a Revenue Operations Manager to build, own, and scale the operational backbone for our New Verticals  division — Flex's expansion beyond rent into non-rent split-pay verticals. Reporting to the Head of Revenue Operations, you'll be the first dedicated RevOps hire to support New Verticalsr, responsible for standing up the systems, processes, and data infrastructure that will power this division through its next phase of growth.

New Verticals is exiting its experimental phase with clear product-market signal and aggressive growth targets. You'll work closely with Business Development,Sales and cross-functional leadership to architect the GTM engine from the ground up — Salesforce configuration, pipeline management, routing, reporting, and the full revenue tech stack. This is a build role: you'll define the playbook, not inherit one.

This is an ideal role for someone who thrives in ambiguity, has stood up RevOps infrastructure before, and wants to shape the operational foundation of a high-growth division.

What You'll Do

Systems Architecture & Ownership

• Build and own the Salesforce environment for New Verticals — objects, fields, page layouts, record types, validation rules, flows, and automations tailored to non-rent split-pay sales motions.
• Design and implement revenue tech stack integrations (CRM, enrichment, routing, marketing) to support NV's distinct sales process and team structure.
• Establish system architecture standards, documentation, and governance that can scale as the division grows from a small team to a full GTM org.
• Serve as the primary systems expert for New Verticals — owning troubleshooting, enhancements, and feature requests end-to-end.

Process Design & GTM Enablement

• Architect the  sales process from lead-to-close — stage definitions, pipeline management, forecasting methodology, and deal hygiene standards.
• Design and deploy routing rules, territory logic, and assignment workflows specific to go-to-market motions (biller channel, D2C, consumer cross-sell).
• Partner with Revenue Operations leadership to align on New Verticals  processes with company-wide RevOps standards while accommodating the division's unique needs.
• Build scalable onboarding workflows and enablement materials for new  hires as the team scales rapidly.

Data, Reporting & Analytics

• Define and maintain core operating metrics — TPV, pipeline velocity, conversion rates, and division-specific KPIs.
• Build dashboards and reports that give Revenue team leadership real-time visibility into pipeline health, forecast accuracy, and team performance.
• Ensure data quality and integrity through validation rules, audits, deduplication, and governance practices.
• Partner with Data and BI teams to ensure data flows cleanly into Snowflake and downstream analytics.

Cross-Functional Leadership

• Act as the operational bridge between the team’s Business Development,Sales, Partner Success, and the broader RevOps team.
• Translate business requirements into system design — converting ambiguous asks into reliable, repeatable processes.
• Represent the  operational needs in company-wide RevOps planning, tool evaluations, and architecture decisions.
• As the division scales, help scope and build the New Verticals  RevOps function — contributing to hiring plans, role definitions, and team structure.

Who You Are

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or GTM Operations, with at least 2 years in a senior or lead capacity.
• Deep Salesforce expertise — you've configured and built environments, not just maintained them. Salesforce Administrator Certification preferred.
• Demonstrated experience standing up RevOps infrastructure for a new or rapidly scaling business unit, division, or company.
• Familiarity with GTM systems such as Outreach, LeanData, Clay and  HubSpot Marketing..
• Experience with AI-assisted operational tooling (e.g., Claude, Claude Code) is a plus.

Skills & Attributes

• Builder mentality — you're energized by creating from zero, not just optimizing what exists.
• Strong architectural thinking — you design systems and processes that scale, not just ones that work today.
• Comfort with ambiguity — you can define scope, make tradeoffs, and move forward when the playbook doesn't exist yet.
• Exceptional cross-functional communication — you translate between technical and business stakeholders fluently.
• High ownership and accountability — you treat the division's operational success as your own.
• Detail-oriented execution paired with strategic perspective — you can wire up a validation rule and advise on GTM process design in the same afternoon.

Compensation

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

• Tier 1 (NYC/SF/Seattle): $136,000—$170,000 USD
• Tier 2: $122,400—$153,000USD
• Tier 3 (SLC): $115,600—$144,500 USD

Code and Theory is seeking a senior cloud engineer who wants to own the full technical lifecycle of enterprise client deployments — from assessing a client's existing infrastructure and designing the integration architecture, to provisioning the environment and keeping it running in production. This is a hands-on role that also requires real client engagement: you will sit in technical working sessions, work directly with client DevOps teams, and be the person who translates security and compliance requirements into concrete infrastructure decisions.

You will be working on a platform that connects our AI product to enterprise marketing environments across different cloud providers. Each client brings its own infrastructure, data stack, and security perimeter. Your job is to figure out how to connect to it, build the integration reliably, and hand it off in a state that can be operated and maintained over time.

WHAT YOU'LL DO

• Assess each client's cloud infrastructure, data stack, and security perimeter before any build starts — translate findings into a concrete integration plan
• Design and provision client environments using Terraform — networking, IAM, container orchestration, managed storage, and secrets management across GCP, AWS, or Azure depending on the client
• Deploy and operate LLM inference pods in client cloud environments — managing API integration, rate limits, latency, and failure handling without needing a data scientist in the room
• Build and maintain integration layers that connect client data sources to the AI layer — you own the plumbing that makes inference useful; the data science team owns what runs on top of it
• Deploy and maintain containerized workloads via Helm — orchestration, ETL workers, and AI inference pods running inside the client's cloud perimeter
• Own data pipeline deployments end to end — scheduling, pagination, retry logic, and rate-limit management against client API gateways
• Manage distributed ETL jobs at scale — JSON flattening, schema enforcement, and structured output delivery
• Enforce data residency requirements — raw data stays inside the client's environment, only structured output leaves to our shared infrastructure
• Serve as the primary technical contact for each client's DevOps and infrastructure teams throughout the engagement
• Lead technical working sessions with client teams — validate configurations, confirm IAM and credential models, review cluster specs before deployment
• Triage and resolve pipeline and infrastructure failures across multiple client environments simultaneously
• Implement container security standards — non-root execution, read-only filesystems, startup integrity hashes, tamper protection
• Mentor junior and mid-level engineers and contribute implementation patterns to the shared playbook after every client engagement

WHAT YOU'LL NEED

• 6+ years of cloud engineering experience — production experience on at least two of GCP, AWS, or Azure, and willing to operate across all three depending on client environment
• Deep Terraform experience — you have provisioned multi-environment, multi-tenant production infrastructure from scratch, not just applied existing configurations
• Comfortable with Kubernetes and Helm in production — deploying, debugging, scaling, and securing containerized workloads, not just running them
• Have run data pipelines in production — you know what breaks, how to recover, and how to build retry and backoff logic that actually holds up
• Hands-on experience with distributed processing at scale — not just theoretical knowledge
• Enterprise API integration experience — OAuth 2.0, API key management, rate limiting, API gateways — end to end
• Solid security fundamentals — container hardening, credential management, and data residency enforcement in environments where it actually matters
• Have worked directly with client or customer engineering teams — comfortable leading technical conversations with enterprise DevOps and infrastructure teams, not just supporting them
• You write things down — runbooks, integration notes, playbook contributions. The next engineer should be able to operate what you built
• Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or equivalent) into production pipelines — not as an end user, but wiring inference into systems that run at scale across real client environments

NICE TO HAVE

• Experience with:
  • LLM inference infrastructure
  • Marketing technology stacks (DAM, CDP, CRM)
  • Multi-tenant client environments
• A cloud certification (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure equivalent)
• Agency, consultancy, or product company background serving multiple enterprise clients simultaneously

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The target range of base compensation for this role is $110,000 - $150,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

What you’ll do

As a Staff Software Engineer on the Identity & Access Management (IAM) team, you will be a primary architect of CoreWeave’s IAM strategy as we rapidly expand the platform. You will leverage your deep expertise in identity systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. This is a high-impact leadership role where you will balance rapid execution with the long-term technical vision necessary to meet the demands of our global enterprise customers.

About the role

• Technical Strategy & Vision: Partner with Product and Engineering Leadership to translate complex requirements into a multi-year technical roadmap that balances immediate business needs with long-term architectural integrity
• System Architecture: Lead the design and implementation of high-throughput, low-latency distributed systems for authentication and authorization across all CoreWeave services
• Platform Evolution: Architect customer-facing experiences for identity lifecycle management, IdP integration (SAML/OIDC), and granular permissioning models
• Engineering Excellence: Champion a security-first mindset across the organization, establishing rigorous standards for code quality, design reviews, and threat modeling
• Operational Leadership: Elevate the team’s operational maturity by defining SLOs, enhancing deep-stack observability, and driving automation to eliminate systemic toil
• Technical Mentorship: Act as a force multiplier by mentoring Senior engineers and fostering a culture of continuous learning and high-performance engineering
• Cross-Functional Influence: Drive alignment on critical security initiatives across the broader engineering organization, articulating complex technical trade-offs to stakeholders

Who you are

• 10+ Years of Experience building and operating large-scale distributed systems in a production environment using one or more of Go, TypeScript, or React
• 5+ Years of IAM Domain Expertise: Proven track record of developing identity products and a deep mastery of standards including OIDC, OAuth2.0, SAML, and JWT
• Technical Leadership: Demonstrated experience leading large, cross-functional projects from inception to planet-scale deployment with measurable business impact
• Cloud-Native Mastery: Deep understanding of Kubernetes, microservices architecture at scale, and advanced CI/CD patterns
• Enterprise Security Acumen: Solid knowledge of the security, compliance (SOC2, HIPAA, etc.), and governance needs of sophisticated enterprise customers
• Strategic Communication: Superb ability to synthesize ambiguous requirements into clear technical designs and communicate trade-offs to both executive and technical audiences
• Analytical Problem Solving: Expert-level ability to debug complex, intermittent issues within distributed environments

Preferred

• Architectural Transformation: Experience leading the decomposition of monolithic architectures into high-performance microservices
• AI-Augmented Development: Familiarity with leveraging AI agents (e.g., Claude, Cursor) to accelerate the software development lifecycle
• Emerging Tech Knowledge: Familiarity with AI/ML workloads, GPU-based infrastructure, and the unique security challenges of MLOps at scale
• Policy-as-Code: Experience with modern authorization frameworks such as Open Policy Agent (OPA) or Cedar

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to solve complex problems and build high-scale, low-latency distributed systems.
• You’re curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads.
• You’re an expert in one or more preferred programming languages (Go, TypeScript, Python), and have deep technical knowledge of distributed systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

*Please note, we are open to remote candidates for this role.

Zocdoc’s most important asset is our people.  As a Senior Software Engineer on the Scheduling team, you’ll play a meaningful role in building the best healthcare journey for our patients and providers possible. You will help develop experiences not just in Zocdoc, but integrate with other ecosystems to reach patients where they are. 

At our best, we empower patients to make informed healthcare decisions with confidence while driving a significant, high-visibility impact on Zocdoc’s business. You’ll tackle complex technical challenges, simplifying an array of complex domains. These domains are across the tech stack; from our modern backend, to frontend experiences that are deployed on Zocdoc and on client’s own interfaces.. You will ensure scalability, resilience, and user experience are at the forefront of everything we build. 

As a Senior Software Engineer, you’ll design, build, and optimize Zocdoc’s applications, ensuring they are scalable, secure, and intuitive. You’ll collaborate closely with product, design, and backend teams, shaping the future of our scheduling experience while mentoring other engineers and championing best practices across the organization.

You’ll enjoy this role if you are…

• Personally motivated by building user facing applications that are changing the healthcare experience for patients
• A product-driven engineer who loves working in a highly collaborative and supportive environment
• Motivated by building products that make healthcare easier
• Passionate about building diverse and inclusive teams and culture
• Excited to work as part of a cross functional development team.

Your day to day is…

• Making a meaningful impact as you participate in all phases of product development, including the design, development, testing, and release of provider and patient-facing features 
• Manage deadlines and navigate ambiguity.
• Shipping scalable production code across the development stack
• Building and fostering relationships with our agile team of engineers, product managers, and designers
• Mentoring your peers, with the notion that helping others means learning and growing yourself
• Promote new technologies and new processes to improve the way we work. 
• Working with cutting edge GenAI tools and technology

You’ll be successful in this role if you have…

• Meaningful (5+ years) experience in full stack software development
• A results oriented mindset. You are always striving to deliver quickly and reliably.
• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Passion for technology and the ability to think critically about performance, scalability, and reliability of software 
• A compassionate but consultative, and confident approach to working with Product partners to deliver high quality products to our patients and providers.
• A strong understanding of system design and architecture
• The mentality of an entrepreneur/owner and a strong bias to action. 
• Superb communication skills! You believe in keeping all of your stakeholders in the loop and know that multiple mediums of communication are the key to success
• Passion for technology and the ability to think critically about performance, scalability, and reliability of software 
• Humility. You believe in treating all people with dignity and respect, regardless of title or tenure 
• An unrelenting desire to build more equitable, inclusive and diverse workplaces.  You view this role as an opportunity to create positive change

Benefits: 

• Flexible, hybrid work environment at our convenient Soho location
• Unlimited Vacation
• 100% paid employee health benefit options (including medical, dental, and vision)
• Commuter Benefits
• 401(k) with employer funded match
• Corporate wellness programs with Headspace and Peloton
• Sabbatical leave (for employees with 5+ years of service)
• Competitive paid parental leave and fertility/family planning reimbursement
• Cell phone reimbursement
• Catered lunch everyday along with beverages and snacks
• Employee Resource Groups and ZocClubs to promote shared community and belonging
• Great Place to Work Certified

Director of Channel Partnerships

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:

Channel partnerships are one of the most significant untapped growth levers at WithCoverage. As Channel Partnerships Lead, you will build our channel motion from the ground up, creating a durable pipeline through firms whose clients overlap directly with our buyers across finance, legal, and the executive suite. Think accounting firms, fractional CFOs, payroll providers, and any other trusted advisor or partner that sits next to the major decisions our clients are making.

This is a builder role with direct pipeline accountability. You will identify the right partners, get in front of them, and show them why WithCoverage's expert team paired with our technology is a step function improvement for their clients (then show them the path to making it happen). You'll work directly with leadership, own a critical new growth channel end-to-end, and have clear upside and a fast promotion path as the channel scales.

What You’ll Do:

Build the B2B Channel Motion from Scratch

• Identify and prioritize partner segments where buyer overlap is highest (accounting, fractional CFO, payroll, legal, executive advisors)
• Source, qualify, and close new channel partners through targeted outreach, events, and warm introductions
• Develop a sharp value prop for each partner type and "show the path": why their clients need WithCoverage and how the partnership works in practice

Drive Pipeline and Revenue

• Own pipeline directly attributable to channel-sourced opportunities
• Build trusted relationships with partner principals and front-line referrers to ensure consistent, high-quality referral flow
• Partner closely with sales to convert referrals and feed insights back into partner strategy

Run Channel Operations and Systems

• Implement systems to track, measure, and performance-manage partners against pipeline targets
• Build SOPs, enablement materials, and onboarding workflows that let the channel scale without breaking
• Represent WithCoverage at partner-facing events and industry functions

Who You Are:

• 5-12 years of experience in Sales, BD, or GTM; 3+ years minimum directly in a partnerships role
• Startup experience preferred but not required
• Track record of building or meaningfully scaling a channel (you've sourced partners from scratch and turned them into real revenue)
• Ruthlessly organized; you can run hundreds of relationships in parallel without dropping balls, and you have the systems to prove it
• Relationship-driven with strong commercial instincts; people trust you quickly and you know how to turn that trust into outcomes
• High-ownership operator; you want real accountability, real upside, and a clear path to expanded scope

For candidates based in the United States, the expected OTE pay range for this position at the start of employment is $175,000  – $250,000/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

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

By catering to both consumers and enterprises, we’re powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing.

SeatGeek has an ever-evolving product that's reshaping the way the ticketing industry works. You’ll join the team responsible for ensuring SeatGeek.com is fast, reliable, and delivering joy to all of our fans.

What you'll do

• Work with the SeatGeek design team and product managers to bring ideas to life to delight fans
• Bring a passion for product to mentor and grow web engineers across the organization
• Contribute to increasing the maturity of our front end tech strategy and stack

What you have

• 5+ years of professional experience in frontend software engineering, having led product initiatives end-to-end in recent years 
• TypeScript/JavaScript: You have an exceptional grasp of the language. You keep up with the latest spec and look for every opportunity to use new features. You're familiar with at least one modern framework and client side rendering technique. We use TypeScript, React, and Next.js to create our user interfaces, although specific knowledge of those is not a prerequisite.
• UI & Product Instincts: You have feelings about how a web page should look and feel, care about the nuances of how users will work with the product you're building, and aim to build inclusive and accessible experiences. We don't expect you to be a visual designer, but we're looking for someone who can build on the work of our experienced design team.
• Architecture and Performance optimization: You are comfortable going deeper into the stack to untangle caching inefficiencies, and troubleshoot across a wide array of distributed systems that make up a dynamic web application. You know how to use monitors and testing to know if changes improved or degraded the experience. You know how to architect for performance and maintainability.
• Adaptability: You have comfort working full stack in Python when needed to get things done.  You have some experience with design tools like Figma or Sketch. If you've never worked with any of these in your life but want to fearlessly dive in, please still apply.

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Typescript, Python
• Libraries / Frameworks: Next.js, React
• Infrastructure / Tools: AWS, K8s, Fastly, Datadog, Mixpanel, Eppo

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

About the Role

We're looking for a front-end focused full stack product engineer to join our fast-growing engineering team, where you’ll help develop delightful and intuitive interfaces that enable non-technical users to easily engage with advanced features.

At Hightouch, full stack engineers work closely with design, product managers, solutions engineers, and customers to understand problems and build polished and intuitive features.

On a typical day, you will be:

• Architecting and building features end-to-end for a new generation of marketing and growth products
• Collaborating closely with customers and cross-functional partners - designers, product managers - to understand real-world behavior
• Working alongside ML engineers to surface insights that empower marketers to make confident decisions

Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, and be proficient in building CRUD applications and with a solid understanding of backend API design and data models.

Our frontend is built in React and Typescript, and our backend is also built on Typescript with some elements of Go.

The salary range for this role is $180,000 - $270,000 USD per year, fully remote and location-independent. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Interview Process

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• Frontend Technical Screen [60m]: You will work together with one of our frontend engineers to build a component that is used commonly throughout the Hightouch app. 
• Full Stack Interview [90m]: This interview is a design-focused session where you'll work collaboratively with the interviewer to think through real product and engineering problems.
• Hiring Manager Interview [30m]: Chat with the hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNI

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: $163,944 - $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.

Hi, we're Oscar. We're hiring a Provider Operations Associate to join our Virtual Care 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 Associate, Provider Operations acts as the operational engine for Oscar Medical Group, bridging the gap between clinical staffing needs and corporate administrative functions. This is a business management role focused on the day-to-day people operations of our provider workforce. You will be responsible for the integrity of our people-data ecosystem—managing the intersection of payroll, HR systems, and clinical operations to ensure the business scales efficiently. Additionally, you will be analyzing data to improve workflows, ensure multi-state compliance, and serve as a strategic operational partner to OMG leadership.

You will report into the Director, Clinical Operations.

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: $87,768- $131,652 annually. You are also eligible for employee benefits, 18 PTO days annually in addition to sick time, 9 paid holidays and 4 personal holidays days per year. You may also participate in Oscar's and 401K plan with 2% corporate matching and immediate vesting!

Primary Duties and Responsibilities

• Serve as the primary operational link between OMG Clinical Leadership, HR, Finance, and Payroll to ensure provider-related business needs are met.

• Identify and implement process improvements across day-to-day people operations and administrative workstreams to reduce manual work and increase data accuracy for a multi-state clinical workforce.

• Analyze payroll and operational data to identify trends, reconcile discrepancies, and provide insights that influence budget and headcount planning.

• Manage the end-to-end integration of providers into HR and Payroll systems, ensuring that operational data flows seamlessly between platforms.

• Partner with HR Business Partners and Clinical Leads to triage and resolve complex operational inquiries, serving as a subject matter expert on OMG-specific pay structures.

• Ensure all provider operations maintain compliance with federal, state, and local regulations in a complex, multi-state healthcare environment.

• Compliance with all applicable laws and regulations 

• Other duties as assigned 

Required Experience and Education

• 3+ years of experience in payroll, HR operations, or related business operations role

• 2+ years of experience in Excel and/or Google Sheets

• 2+ years of experience developing and running analytics on operational data

• 2+ years of experience supporting end to end payroll processing (Justworks, Workday etc)

• 2+ years of experience working in multistate payroll environments

Preferred Experience and Education

• 3+ years of operations experience

• Experience working with provider and facility data

• Payroll experience

• Background in health insurance

• 2+ years of experience in Excel and/or Google Sheets

• 2+ years of experience developing and running analytics on operational data

• 2+ years of experience supporting end to end payroll processing (Justworks, Workday etc)

• 2+ years of experience working in multistate payroll environments

Preferred Experience and Education

• 3+ years of operations experience

• Experience working with provider and facility data

• Background in health insurance

Hi, we're Oscar. We're hiring a VP, Clinical Strategy & Integration.

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 VP of Clinical Strategy & Integration serves as the operational architect and connective tissue of the Clinical organization, responsible for driving product/services development and execution across the organization—including Virtual Care, Case Management, Pharmacy,  Utilization Management, Provider Network and Member Experience—into a high-performing, unified clinical orchestration ecosystem.  By balancing strategic vision with rigorous operational execution, this leader builds the scalable infrastructure, data interoperability, and cross-functional workflows necessary to transform clinical insights into a cohesive, end-to-end care model.

This leader drives enterprise value and clinical excellence by aligning product development, strategy, operations, technology, and policy. They will act as the operational backbone of the Clinical organization — ensuring clinical and operational leaders are enabled with the right tools, insights, and support to perform at their best. Through the standardization of evidence-based care practices and the data-driven continuous optimization of clinical programming and systems, the VP ensures that cross-functional teams are aligned and empowered to manage medical trends effectively, improve member outcomes, and deliver a more affordable, seamless healthcare experience.

You will report into the Chief Health Officer.

Work Location: This position is based in our New York 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: $264,132 - $346,673 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• “Consumer First” Clinical strategy development: Develop and execute strategic plans to transform traditional UM to care orchestration between health plan coverage, provider networks and members.  Directly drive execution for scalability, workflow efficiency and member experience leveraging tech and automated solutions.
• Health Solutions Product Pipeline: drive the development of new health solutions products in partnership with plan design, affordability and growth; leverage direct member marketing and engagement.
• Strategic alignment: Align Clinical Operations functions with overall strategic goals, particularly in areas of trend management, quality improvement and member satisfaction; drive collaboration across departments to ensure integrated service delivery.
• Strategic initiatives and transformation: Orchestrate the execution of high-priority, cross-functional initiatives that bridge the gap between clinical strategy and execution. Apply rigorous program management discipline to ensure that complex Clinical projects are delivered on time, aligned with enterprise KPIs, and supported by the necessary change management to drive long-term organizational adoption.
• Performance analytics: Analyze operational data to identify trends, risks and opportunities for improvement; spearhead the development of a framework that translates real-time performance data into actionable insights; leverage these analytics to refine clinical policies, optimize care pathways, and empower providers with the point-of-care tools necessary to drive superior health outcomes and medical trend management.
• Clinical intelligence: Monitor external market trends, emerging care technologies, regulatory shifts and population health trends to inform multi-year business planning; translate these external signals—along with internal performance data—into actionable strategies that evolve our clinical operating model, ensuring the organization remains a leader in care delivery.
• Technology partnership: Partner with Technology organization and Clinical leadership to identify and deliver new systems, tools and capabilities, prioritize technology initiatives across the Clinical organization, and oversee implementation of solutions to achieve business objectives.
• Management process and governance: Lead clinical governance model to promote alignment and collaboration; establish the right key performance indicators, regularly monitor and report on progress to executive leadership team (including Clinical Quarterly Business reviews).
• People management: Manage and mentor a team while fostering a culture of collaboration, innovation and accountability.
• Financial planning and performance: Monitor financial performance and implement cost saving measures without compromising quality or member experience.
• Compliance with all applicable laws and regulations 
• Other duties as assigned 

Requirements:

• 15+ years of experience in healthcare industry
• 7+  years Managed Care experience in an operations environment
• 5+  years experience in managing a large/cross functional end-to-end product teams
• 5+  years managing budget and capacity models

Bonus points:

• Experience leading programs tied to clinical outcomes in value based models
• Formal business process/management engineering training

Hi, we're Oscar. We're hiring a Physician Reviewer to join our Utilization Management 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:

You will determine the medical appropriateness of inpatient, outpatient, and pharmacy services by reviewing clinical information and applying evidence-based guidelines.

Hours: 8am - 5pm in your local time zone

Call rotation - 1 weekend every 16 weeks

You will report into the Associate Medical Director, Utilization Management.

Work Location: This is a remote position, open to candidates who reside in the United States. While your daily work will be completed from your home office, occasional travel may be required for team meetings and company events. #LI-Remote

Pay Transparency: The base pay for this role is: $211,200 - $ 277,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation, and annual performance bonuses.

Responsibilities:

• Provide timely medical reviews that meet Oscar's stringent quality parameters.
• Provide clinical determinations based on evidence-based criteria and Oscar internal guidelines and policies, while utilizing clinical acumen.
• Clearly and accurately document all communication and decision-making in Oscar workflow tools, ensuring a member could easily reference and understand your decision (Flesch-Kincaid grade level).
• Use correct templates for documenting decisions during case review.
• Meet the appropriate turn-around times for clinical reviews.
• Receive and review escalated reviews.
• Conduct timely peer-to-peer discussions with treating providers to clarify clinical information and to explain review outcome decisions, including feedback on alternate treatment based on medical necessity criteria and evidence-based research.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• Board certification as an MD or DO
• Licensed in one of these states: FL, NC, AZ OR possess an active Interstate Medical Licensure Compact (IMLC).
• 6+ years of clinical practice

Bonus points:

• Licensure in multiple Oscar states
• 1+ years of utilization review experience in a managed care plan (health care industry)
• BC in Cardiology, Radiation/Oncology, or Neurology
• Experience with care management within the health insurance industry.
• Willing and able to obtain additional state licensure as needed, with Oscar's support

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. We grew more than 10x last year while cash-flow positive, and we are very early in the opportunity.

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:

We are looking for a strategic, hands on Demand Generation Lead to architect and execute our digital lead generation strategy.

This is a foundational hire. You will partner closely with our Growth Leads, BDR, and Community teams to generate high quality inbound pipeline and create repeatable, scalable acquisition channels.

You will own digital marketing end to end, from strategy and experimentation to execution and optimization, with a clear focus on pipeline generation and revenue impact.

If you are excited about building from zero, testing fast, and driving measurable growth at a scaling company, this role is for you.

What You’ll Do:

Build the Digital Demand Engine

• Identify, test, and scale high performing acquisition channels including paid search, paid social, display, and retargeting
• Build a structured experimentation roadmap with clear hypotheses and success metrics

Own Performance and Optimization

• Manage paid media budgets and optimize for CPL, SQLs, and pipeline contribution
• Implement and improve tracking, attribution, and reporting frameworks
• Use data to inform targeting, creative, messaging, and landing page improvements

Launch and Optimize Campaign Infrastructure

• Build and optimize landing pages and conversion funnels
• Partner with design to develop high performing creative assets including case studies, webinars, Risk Analysis benchmarking, and more
• Improve website conversion rates and implement cutting-edge solutions to optimize SEO/AEO

Establish Scalable Foundations

• Select and manage marketing technology stack as needed
• Create dashboards and reporting for leadership
• Define benchmarks and growth targets for digital acquisition

Who You Are: 

Experience

• 5-8+ years in digital marketing, demand generation, or growth marketing
• Experience at a high growth startup, Series A to C preferred
• Proven track record of driving pipeline and revenue, not just traffic
• Experience owning paid channels with meaningful budget responsibility

Skills

• Deep expertise in performance marketing including Google Ads, LinkedIn, and Meta
• Strong understanding of B2B funnel metrics including MQL, SQL, CAC, LTV, and conversion rates
• Data driven mindset with strong analytical skills
• Experience with attribution and marketing analytics tools
• Ability to operate both strategically and tactically

Mindset

• Builder mentality and comfortable creating structure from scratch
• Highly collaborative and thrives in cross functional partnership
• Experimentation driven and hypothesis oriented
• Accountable for outcomes, not just activity
• Bias toward action in fast paced environments

What Success Looks Like in the First 12 Months

• Established a clear digital acquisition strategy tied to pipeline goals
• Launched and optimized multiple paid channels
• Increased qualified inbound pipeline contribution by a meaningful percentage
• Built scalable reporting and attribution infrastructure
• Became the central glue to orchestrate lead engagement across Paid Ads, Outbound, Direct Mail, and other channels

For candidates based in the United States, the expected OTE pay range for this position at the start of employment is $150,000 – $200,000/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 may include equity
• Flexible paid time off
• Comprehensive benefit plans for medical, dental, vision, life, and disability
• Flexible Spending Accounts (FSAs): Health Care FSA and Dependent Care FSA 
• Commuter Savings Account
• Human Interest: 401(k) provider
• Time Off: Sick Leave, Family and Medical Leave, Flexible Time Off
• Paid Holidays: Observance of all major national holidays
• A curated in-office employee experience, designed to foster community, team connections, and innovation, that also includes catered lunches in the office on Fridays for in-office workers
• Collaborative, transparent, and fun culture

About the Opportunity 

As a Software Engineering Intern on our growing EV team, you will design and develop frontend or backend services that support residential EV programs, while maintaining a strong security posture across our infrastructure. Working closely with leading EV
providers such as Tesla and GM, you will improve grid flexibility and enhance the value of our programs.

Partnering with other engineers, you will build new services and products in EnergyHub’s EV platform, engaging homeowners and OEMs on initiatives that unlock the full potential of EVs and deliver meaningful grid impact.

This role can encompass several areas including data monitoring, internal tooling and reporting, integrations with EV OEMs or other third party services, and new features to improve the quality and breadth of our EV solutions. Ideally, we would love our intern to be with us from July to December.

Main Responsibilities

• Develop Kotlin-based or Ruby on Rails-based solutions, working towards well-structured, high-quality code with automated testing
• Develop front-end solutions supporting EV drivers and/or utilities in React
• Collaborate cross-functionally with product managers, internal engineering teams, and stakeholders to contribute to high-impact projects.
• Work within real-world constraints to develop creative solutions that work towards platform flexibility and scalability.
• Contribute to best practices for CI/CD, data modeling, and iterative development (e.g., PoCs, rapid prototyping, milestone-based execution).
• Actively participate in a strong technical culture of respect, open communication, and collaboration.
• Write and maintain technical documentation
• Drive and embody the “Dev Owns Quality” culture
• Other duties as assigned

Key Skills and Experience

• Eager to learn new technologies and enthusiastic to be a full-stack engineer with a focus on application development, integrations and internal tooling
• Experience developing the full SDLC
• Experience with Java, Kotlin and/or Ruby on Rails
• Experience with React
• Strong problem-solving skills, capable of balancing multiple use cases while enabling flexibility 
• Strong communication skills, with an emphasis on cross-functional collaboration
  and working on challenging technical problems

Preferred Skills and Experience

• Extensive data engineering experience is a huge plus, including addressing data quality issues, building data pipelines, monitoring and alerting
• Experience with relational databases and SQL is a plus
• Experience with S3, MongoDB, AWS, DBT, Snowflake a plus
• Experience with web services and RESTful APIs
• Familiarity with CI/CD pipelines and modern software development practices
• Proven ability to deliver high-quality, iterative value while maintaining execution speed
• Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

Workplace and People Operations Associate

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

Location: Austin, TX or San Francisco, CA

About Cloudflare 

At Cloudflare, our mission is bold yet simple: to help build a better Internet. Our global network handles trillions of requests each month, protecting and accelerating applications without added hardware, software, or code changes. Our Developer Platform, including Workers, Workers AI, R2, KV, Durable Objects, and Pages, empowers developers to build and deploy applications globally, faster than ever before.

About the Team 

The Developer GTM organization is a startup within Cloudflare, driving how we attract, inspire, and grow the next generation of builders. We are redefining what developer acquisition looks like in a world where AI and distributed agents are reshaping the stack. Our mission is to create new pathways for developers to discover Cloudflare, whether through ecosystem partnerships, high impact content, or creative field engagement.

We are builders, storytellers, and connectors united by one goal: to make Cloudflare the most exciting place for developers to build.

About the Role

As the Senior Manager of Solutions Architecture for the AI & Developer Platform, you will lead a team of high-performing technical experts who help customers understand the business value and technical details of Cloudflare’s ecosystem. You will serve as a strategic partner to sales leadership, advising on programs to grow developer revenue and supporting complex strategic opportunities. In this leadership capacity, you will bridge the gap between technical sales and product engineering, ensuring your team effectively acts as the feedback loop that evolves our product offerings.

What you will do

• Strategic Oversight: Develop and execute the long-term technical sales strategy in partnership with regional and country sales leaders to drive pipeline and revenue for the Cloudflare Developer Platform.
• People Management: Directly manage, mentor, and grow a team of Solution Architects, ensuring they successfully serve as trusted technical advisors and regional leads.
• Cross-Functional Collaboration: Serve as the primary liaison with executive leadership, Product Management, and Product Marketing to align goals and deliver data-driven value propositions and customer stories.
• Budget and Resource Allocation: Manage the annual budget and make critical resource allocation decisions to ensure the team is staffed and equipped to meet customer needs and business goals.
• Executive Engagement: Support your team in aligning perceived business and technical value with C-Level executives at strategic customer accounts.
• Product Evolution: Oversee the creation of a succinct feedback loop between the field and internal teams to refine the product roadmap based on customer usage and competitive intelligence.

Who you are

• Technical Sales Leadership: Significant experience leading technical teams, with a background of 7+ years in technical sales of cloud computing, storage, or full-stack engineering.
• Strategic Planning: Proven ability to develop programs that drive sales strategy and pipeline generation in a complex technical environment.
• Deep Technical Expertise: Comprehensive knowledge of modern Web Technologies, Cloud Architecture, AI/ML, and the advantages of Distributed Serverless Platforms.
• System Design Authority: Ability to mentor teams on Systems Design theory and practice for distributed, full-stack applications to solve complex client needs.
• Cross-Functional Leadership: Demonstrated success collaborating with Product, Marketing, and Sales to drive revenue and customer adoption.
• Application Materials: Candidates must submit a resume/CV detailing their experience with team leadership and technical architecture.

Nice-to-Have Skills

• Platform Proficiency: Practical experience where you have built applications or solutions using Cloudflare Workers.
• Industry Certifications: Holding current AWS Solutions Architect or GCP Cloud Architect certifications.
• Developer Workflow Knowledge: Strong understanding of CI/CD practices, versioning, and system integrations to better guide the team on developer workflows.

Compensation
Compensation may be adjusted depending on work location.

For Bay Area based hires: Estimated annual salary of $244,000.00 - $336,000.00

Equity
This role is eligible to participate in Cloudflare’s equity plan.

Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Available Locations: NYC

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For NYC based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Come Work With Us:

Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.

Position Summary:

Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions & Responsibilities 

Production Architecture & AIOps

• Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
• Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
• Design and maintain scalable software applications with integrated AI/ML capabilities.
• Develop software architecture and design patterns to ensure performance and scalability.
• Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
• Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
• Integrate AI/ML models into production environments and optimize for reliability and scalability.
• Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay current with advancements in software engineering and AI/ML technologies.
• Adhere to agile and lean software development best practices.
• Thoroughly document all developed models and processes according to relevant policies and standards.
• Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.

Cross-Functional Collaboration

• Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
• Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.

Scaling & Performance

• Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
• Optimize model serving using techniques like model compression, caching, and hardware acceleration.

Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).

Qualifications & Skills:

• 6+ years of experience
• Master’s or PhD in a relevant field (Computer Science, Software Engineering,  Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
• LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
• MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
• Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
• Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
• Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
• Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
• Strong understanding of AI/ML algorithms, application architecture, and design patterns.
• Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications & Skills

• Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
• Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
• Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
• Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
• Ability to work in a constantly evolving environment.
• Excellent written and verbal communication skills.
• Strong listening and teaching abilities.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Quick learner of new technologies.
• Self-directed with strong technology and communication skills.
• Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
• Collaborative team player with a practical and creative approach in a dynamic work environment.
• Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.

Potential Salary: $130,000 - $200,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Scale’s Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world’s most important decisions. As an AI Deployment Strategist Intern, you will work alongside our DSG team, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will support deployment success and contribute foundational industry knowledge to our team, helping turn bold ideas into real impact and ensuring engagements run smoothly.

In this role, you will work directly with data, engineering, business, and AI leaders at some of the world’s top Enterprises. You will support projects from early scoping through delivery and expansion, contributing to measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. The outcome of a DSG Intern’s time at Scale should include tangible contributions to live enterprise accounts and the creation of structured intelligence artifacts that benefit the Enterprise Business Unit.

Interns will also participate in weekly sessions with DSG leaders, gain exposure to cross-functional teams across Engineering, Product, and GTM, and receive structured feedback throughout the program.

This is a fast-moving, high-impact internship that provides exposure to customer strategy, operations, product strategy and execution. You will work closely with DSGs who serve as the voice of the customer and support the execution of customer projects.

During the internship, you will contribute to:

• Client Leadership & Growth: Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value
• Flawless Delivery & Execution: Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes
• Strategic Account Expansion: Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact
• Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations teams while supporting operational improvements and delivery processes
• Strategic Feedback Loop: Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches
• Mastering Complexity & Ambiguity: Help bring structure and clarity to complex projects through research, analysis, and structured deliverables

Industry & Vertical Intelligence: Conduct outside-in research to develop structured insights on enterprise industries and AI opportunities, producing briefs that support account strategy and go-to-market efforts

Ideally, you’d have:

• Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field. Prior 4+ years of work experience in high-growth, high-ambiguity environments
• A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field)
• Exposure to GenAI solutions via your current role or personal projects 
• A proven track record in building and expanding client relationships
• Ability to understand core AI / ML concepts and build great relationships with technical customers
• Great cross-functional experience and collaborative ability
• Excellent verbal and written communication skills
• A track record of structured, analytics-driven problem solving
• A history of diligence and organization across multiple work streams
• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results

Nice to have:

• Exposure to enterprise AI or data infrastructure products
• Deeper industry knowledge in healthcare, consumer, financial services

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this internship position in the locations of San Francisco, New York, Seattle is: $15,000 per month.

At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale’s offering. 

We understand our customers’ needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms,  and the broader marketing team to create a cohesive customer experience across all our channels. 

This role sits at the center of Scale’s GenAI data products, which power the world’s leading AI labs. As one of the largest providers of high-quality AI training data, we’ve built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. 

The market is evolving fast, and we’re looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution.

You will:

• Own positioning and messaging for Scale’s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
• Lead the content and social strategy for Scale Labs’ dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community.
• Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
• Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business
• Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
• Collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you’d have:

• 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences.
• Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.
• Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners
• Excellent written communication and storytelling skills — you can make complex technical concepts compelling without oversimplifying them.
• Ability to work across functions and move fast in a dynamic, high-stakes environment.

Nice to haves:

• Familiarity with the AI training data market, or adjacent data and infrastructure spaces.
• An existing network or relationships within the AI research community.
• Experience navigating competitive markets where differentiation requires more than feature comparisons.

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. For example, our contributor network includes Math PHDs from Vietnam, law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational — to contributor experience, to customer data quality, and to the health of the business.

We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high-autonomy, high-impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem — building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. T&S at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global, the adversaries are sophisticated, and the stakes are real.

This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems — because you will be the resident expert. You will set the vision for moving T&S from a reactive, fire-fighting posture to a proactive, intelligence-driven function with scalable detection and prevention infrastructure.

About the Role:

• You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops.
• T&S at Scale is not a mature function — it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad-hoc solutions with scalable systems. You will inherit a patchwork of existing tools, signals and products and shape them into a coherent, defensible platform with mature processes.
• The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion — all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI-native marketplaces.
• This is a highly cross-functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently.

You will:

• Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence-driven fraud prevention
• Own the product roadmap for fraud detection, prevention, and remediation systems — including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling
• Build a balanced approach to fraud mitigation and growth protection — ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users
• Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material
• Drive cross-functional alignment across Ops, EPD, Finance, and executive leadership — independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant HM involvement
• Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models
• Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure
• Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively
• Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability

Ideally, you’d have:

• 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams
• Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig-economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform-level abuse and adversarial user behavior
• Track record of building T&S systems at consumer-facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high-growth platforms with global contributor/user bases
• Proven ability to balance fraud mitigation with growth protection — you’ve made hard tradeoff decisions between blocking bad actors and preserving good UX
• Exceptional stakeholder management skills — you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently
• Strong analytical capabilities — you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL
• Experience setting ambitious product vision and executing against it — you’ve moved a function from reactive to proactive
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience building T&S systems with global/international coverage across diverse contributor populations
• Understanding of AI-enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve
• Experience with contributor/gig-economy platforms specifically (not just consumer marketplaces)
• Experience working at early-to-growth-stage companies where T&S was being built or rebuilt from scratch

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. 

Role Overview

The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.

Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.  

Minimum Qualifications (Quantifiable)

• Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
• Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. 
• Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
• Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
• Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
• Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.

Preferred Qualifications (Nice to Haves)

• Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
• GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
• Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
• Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable.

Scale operates as a two-sided marketplace. On the demand side, our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams.

About the Role

• Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality.
• These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.
• Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation.
• Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Example Product Management Openings:

Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models.

Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster.

Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience.

You Will

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideally, You’d Have

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
• Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
• Experience building products from the ground up and iterating through the scaling journey of a business
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Nice to Have:

• Experience in AI/ML, data infrastructure, or marketplace businesses
• Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
• Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains  
• Experience working at high-growth startups or scaling consumer/enterprise platforms

The Mission

Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.

We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model.  This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI.  This work will span both Computer Vision and Generative AI.

This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You’ll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing.

You will:

• Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems.
• Bridge Custom & Scale: Support diverse customer profiles—from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.
• Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E).
• Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.

Ideally you'd have:

• Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.
• ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model—from data acquisition to Test & Evaluation.
• Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.
• Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.

Nice to haves:

• Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one.

• Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability.
• Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques.

Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world’s most innovative companies adopt, deploy, and scale AI with Scale.

Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.

You will:

• Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
• Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
• Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
• Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
• Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
• Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
• Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
• Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
• Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function

Ideally, you'd have:

• Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
• Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
• Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
• Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
• Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
• Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
• Exceptional communication skills, with the ability to translate between business, product, and technical audiences
• High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments

Nice to haves:

• Deep experience with Generative AI / LLM applications in enterprise environments
• Background in forward-deployed engineering or building production-grade ML systems
• Experience in regulated industries such as financial services, insurance, or healthcare

National Security Hackathon Attendees – Stay Connected with Scale AI

This posting is for candidates who attended National Security Hackathon and connected with a member of the Scale AI team.

It was great meeting you at the Hackathon! Whether we spoke at our booth or on the floor, we always enjoy connecting with people who are passionate about advancing AI and machine learning.

At Scale AI, our mission is to develop reliable AI systems for the world's most important decisions. For the past ten years, Scale has been the leading AI data foundry, supporting some of the most exciting advancements in AI, including generative AI, defense applications, robotics, and autonomous systems.

We’re continuing to grow our team across a range of technical and mission-focused roles.

If you're excited about the problems we’re tackling, feel free to share your information here. A member of our team will reach out if there’s a strong fit with one of our open opportunities. And even if the timing isn’t right today, we’d love to stay connected.

We look forward to continuing the conversation. In the meantime, you can learn more about our work at scale.com.

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Build, profile and optimize our training and inference framework.
• Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Research and integrate state-of-the-art technologies to optimize our ML system.

Ideally you’d have:

• Passionate about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills to operate in a cross functional team environment.

Nice to haves:

• Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. 

You will:

• Lead a team of highly effective research scientists and research engineers on LLM evals.
• Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. 
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
• Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
• Remain deeply involved in the research community, both understanding trends, and setting them
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience supporting and leading a team of research scientists and research engineers
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideally you’d have:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to haves:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles