This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to represent Anthropic to high-level executives in high-stakes environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Manage the кури relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic to high-level commercial and technical executives in terms of technical credibility.
• Measure value and ROI: define impact hypotheses, establish baselines and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• Codify reusable solution patterns, evaluation frameworks, and technical manuals.
• Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.
• Navigate enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.
• Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, as needed.
• Manage delivery operations: sprint ceremonies, review milestones, and progress reports.
• Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Requirements:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, in startups/founders, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI agent-based solutions using AI, ML, or LLM. You understand applicable models, integration approaches, and real-world realities.
• Be able to hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical engagement direction alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, where results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: be comfortable, credible, and able to represent Anthropic to high-level executives in high-stakes environments. Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a deployed engineering firm or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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You will:

• Own full-cycle recruiting for roles in our Design, Marketing, and Business functions (intake, sourcing, assessments, offers), driving efficient, high-quality hiring outcomes.
• Partner with hiring managers to align on role requirements, interview plans, and timelines; help set clear expectations and keep searches on track.
• Support intake meetings and recruiting syncs by sharing updates, surfacing insights, and recommending next steps.
• Review candidate portfolios and help assess design quality and craft in alignment with Duolingo's aesthetic and standards.
• Execute strong recruiting operations: manage timelines, track progress, and proactively communicate status updates and risks.
• Deliver an excellent candidate experience with timely communication, structured assessments, and clear feedback loops from first touch to close.
• Use data to inform your work: monitor funnel health, identify trends, and suggest improvements to your searches.

You have:

• 3+ years of full-cycle recruiting experience, including sourcing and closing for creative, business, and/or marketing roles.
• Experience hiring for moderately complex roles (e.g., industry hires, early-career or internship roles, or program management roles).
• Portfolio review experience, with the ability to recognize creative excellence.
• Ability to manage multiple searches at once while maintaining strong organization and candidate experience.
• Strong communication and stakeholder management skills; you build trust and keep hiring partners aligned.
• Experience using recruiting data (e.g., pipeline metrics, conversion rates) to inform your approach.
• Experience ideating, building, and experimenting with AI tools, like ChatGPT.
• Familiarity with AI tools (e.g., ChatGPT) to support recruiting workflows.
• Ability to work from or relocate to Pittsburgh, PA.

Exceptional candidates will have:

• Experience recruiting across multiple creative disciplines.
• Deep knowledge of the creative and marketing hiring landscape, including current trends and platforms.
• Experience recruiting in tech, startups, or high-growth companies.
• Experience with tools like Gem, Brighthire, Guide, and Greenhouse.
• A deep alignment with Duolingo's mission.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP scope, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic remote to senior commercial and technical executives in terms of technical credibility.
• Master value measurement and ROI: define impact hypotheses, establish baselines, and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• BOYD reusable solution patterns, evaluation frameworks, and technical manuals. Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.

Navigating enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, when necessary.

Manage delivery operations: sprint ceremonies, step reviews, and progress reports.

Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Profile:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, founders/startups, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI-based agent solutions, ML, or LLM. You understand applicable models, integration approaches, and reality on the ground.
• Can hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical direction of engagements alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, whose results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: you're comfortable, credible, and able to represent Anthropic in high-stakes environments.
• Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: you're here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a field-deployed engineering organisation or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.

Ideally, you'd have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

You should have experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.

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As an early-to-mid level AI Growth Specialist (BDR) at Descript, you'll be on the front lines of growth: sourcing and qualifying new business opportunities, building relationships with buyers across modern media, marketing, and enterprise teams, and creating pipeline for our Account Executives.

This role is highly cross-functional , you'll work closely with Marketing, Account Executives, Customer Success, and Product to refine messaging, target the right buyers, and iterate on playbooks that scale.

Responsibilities:

• Drive outbound prospecting through email, phone, social (LinkedIn), and inbound follow-up to generate qualified meetings for the AE team.

• Execute targeted cadences that combine personalization and scale; own the top of funnel for assigned segments.

• Qualify deals against MEDDPICC , build and maintain a healthy pipeline, and pass consistently high-quality opportunities to AEs.

• Hit weekly / monthly activity and pipeline targets (calls, emails, meetings, SQLs).

• Use CRM and sales engagement tools (Salesforce / Unify / Apollo / LinkedIn Sales Navigator) to track activity and report on funnel metrics.

• Collaborate with Marketing to test and optimize messaging, campaigns, and inbound conversion flows.

• Be the voice of the customer , share insights about buyer pain points, competitive signals, and feature requests to Product and GTM teams.

• Help evolve playbooks and onboarding materials for future SDR hires.

Requirements:

• 1–3 years of work experience (SaaS, AI or Investment Banking experience strongly preferred).

• Demonstrated success in outbound prospecting and meeting generation for quota-driven teams.

• Strong written and verbal communication skills , you can write crisp, human outreach and confidently lead discovery conversations.

• Comfortable with high activity levels and a metrics-driven approach to improvement.

• Experience using a CRM and sales engagement tools; comfortable learning and adopting new tooling and processes.

• Grit, curiosity, and the coachability to iterate quickly on feedback.

• Ability to learn our core systems to find targets within our existing customer database

• Passion for creators, video, audio, or modern content workflows is a big plus.

Nice to have:

• Experience selling to marketing, learning & development, product, or media teams.

• Familiarity with audio/video creation workflows or interest in multimedia production.

• Prior experience in a startup or high-growth environment.

• Knowledge of prospecting at enterprise accounts and navigating complex buying groups.

What success looks like (first 3–6 months):

• Consistently hitting activity and meeting targets and contributing a predictable pipeline to the AE team.

• Developing strong, scalable cadences that increase conversion rates from outreach → meeting → SQL.

• Showing strong product knowledge and independently handling discovery calls with high lead quality.

Our hiring process:

• Manager / hiring team interview (role fit & experience).

• Live or recorded roleplay / sales exercise.

• Final conversation with leadership or cross-functional partner.

• Offer.

Base salary range for this role is $60,000-$120,000/year OTE.

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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In this role, you'll be responsible for managing our real estate portfolio end to end , from site selection and lease negotiations through buildouts, move-ins, and ongoing operations , ensuring our spaces support how our teams work today and how we’ll grow tomorrow.

This role is about building and running the engine, not just reacting to requests. You’ll operate behind the scenes to orchestrate complex projects, bring structure to ambiguity, and partner across teams to make real estate decisions feel intentional, predictable, and scalable.

While you’ll collaborate closely with senior leaders and external partners, this is a hands-on ownership role for someone who likes to be in the details and accountable for outcomes.

Key responsibilities include:

• Owning and leading the global real estate portfolio end to end , from strategy and site selection to lease negotiations, renewals, expansions, and exits , ensuring alignment with business needs and growth plans
• Leading all major facility projects and office buildouts, managing scope, budgets, timelines, vendors, and day-to-day execution from concept through move-in
• Designing scalable systems, processes, and documentation for how we evaluate space, manage leases, run projects, and operate offices across regions
• Managing the operational details of real estate and facilities work , contracts, approvals, documentation, timelines, risks, and communications , ensuring nothing slips through the cracks
• Partnering cross-functionally with Finance, Legal, Workplace, Security, People, and business leaders to align real estate decisions with broader company priorities
• Building and maintaining real estate financial models and scenarios (e.g., total cost of occupancy, capex/opex tradeoffs) to support clear, data-informed decision-making
• Communicating clearly and confidently with senior leaders and the C-suite, translating complex real estate considerations into actionable recommendations
• Continuously evolving how we approach real estate and facilities to support a fast-growing, global company , balancing speed, quality, cost, and employee experience

We'd love to hear from you if you have:

• 7+ years of experience in active real estate or facilities management, with direct ownership of leases, negotiations, and buildout projects across domestic and international markets
• Strong fluency in real estate financials, with the ability to model, explain, and evaluate costs, tradeoffs, and risks
• High ownership mindset and attention to detail , you take things end-to-end and ensure they get finished
• Comfort operating in ambiguity, bringing structure, systems, and scalable processes to fast-moving environments while supporting a great employee experience
• Clear, thoughtful communicator and cross-functional partner, able to influence stakeholders and senior leaders without formal authority

Preferred qualifications include:

• Experience supporting high-growth tech companies or startups
• Overseen real estate portfolios across multiple regions simultaneously
• Have a background in facilities operations or workplace experience
• Enjoy building templates, playbooks, dashboards, and repeatable workflows from scratch
• Experience managing vendors and negotiations in complex or unfamiliar markets

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Pay Transparency Disclosure: If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range: $153,000-$269,000 USD

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You will combine prior experience in partnerships/channel sales with the unique technology, partnerships, and market opportunity at Brex. Your engagement models will include embedded card integrations, reseller motions, and co-sell relationships. You will be deeply integrated with Product, Engineering, Sales, Product Marketing, Legal, and other teams.

This is a full-stack BD role where you will lead the entire partnership lifecycle from sourcing and contracting through to product integration and activation of the first 50 customers. You'll collaborate cross-functionally to structure bespoke embedded payment solutions, develop joint go-to-market plans, and ensure Brex's platform is deeply embedded in our partners' workflows.

Responsibilities:

• Proactively identify and source net-new partners while expanding existing partner relationships through end-to-end execution,sourcing, business case creation, legal contracting, product integration, and early customer activation
• Develop strategies for partner acquisition and expansion, identifying new verticals, market segments, and GTM pathways to support Brex's 'bend the curve' growth goals
• Collaborate with Product, Engineering, Legal, Finance, Sales, and Marketing teams to launch complex integrations and activate early usage
• Navigate ambiguity, distill complexity into actionable decisions, and take initiative in new, undefined opportunity areas
• Transition-activated partnerships to scaled go-to-market execution and performance tracking in collaboration with AE teams
• Support Brex's growth into strategic customer segments through targeted partnerships instead of fixed vertical ownership

Requirements:

• Experience at a high-growth startup
• 6+ years of experience in strategic partnerships/sales in B2B industry
• Proven track record of revenue responsibility, exceeding quota targets and achieving strategic objectives
• Strong ownership mindset and accountability for outcomes
• High energy and creativity, with a passion for building relationships and thriving in hands-on, self-starter environments
• Comfortable managing multiple workstreams in a fast-paced, constantly evolving environment while maintaining clarity and focus
• Business acumen spanning the range from strategic mindset (view of market dynamics, partner value propositions, strategic negotiations) to tactical initiatives to build the business
• Self-starter with a drive to win by serving customers and growing revenue
• Up to 25% travel required

Bonus Points:

• Strong preference for candidates with founder experience or hybrid backgrounds combining strategy, product, and GTM
• Payments or embedded finance experience
• Experience integrating financial products into SaaS or workflow platforms
• Background in management consulting with operating experience in startups

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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How often do you get the opportunity to be on the ground floor of a big and important mission? As a Senior Data Scientist for Dropbox's AI-first journey, you will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

You will partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

US Zone 2: $173,700-$234,900 USD US Zone 3: $154,400-$208,800 USD

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By combining high-performance inference, orchestration, and observability in one seamless platform, fal enables companies to bring new AI-powered products to life without the heavy lift of managing complex infrastructure.

With rapid adoption across industries and a generative media market projected to expand by hundreds of billions over the next decade, fal is uniquely positioned to become a foundational platform in the next wave of AI innovation.

About the Role

You are a seasoned Account Executive with a proven track record of driving significant revenue growth in AI, SaaS, or technology startups. You excel at navigating complex sales cycles, building long-term relationships with enterprise customers, and leading strategic negotiations. By leveraging your deep understanding of AI infrastructure, you will help innovative organisations adopt fal's platform, amplify their capabilities, and shape the future of AI-powered media on a global scale.

What You’ll Do

• Own and optimise the entire sales cycle,from high-level prospecting to enterprise-level contracting,while effectively articulating fal's AI infrastructure benefits.

• Develop and implement advanced sales strategies to break into new markets, manage executive-level relationships, and consistently exceed revenue targets.

• Lead detailed product demonstrations and complex contract negotiations, ensuring alignment with both technical and business stakeholders.

• Provide strategic market insights and champion customer feedback to influence product roadmaps and priority features.

• Mentor junior members of the sales team, fostering a culture of knowledge sharing and consistent performance improvement.

What You’ll Bring

• 3+ years of B2B sales experience in AI, SaaS, or technology startups, with a strong track record of exceeding quotas.

• Proficiency in engaging and selling to C-suite or other high-level decision-makers within complex organisational structures.

• Exceptional negotiation skills, including the ability to navigate multi-stakeholder deals with technical, legal, and financial components.

• Outstanding communication and presentation abilities, capable of addressing both technical and non-technical audiences effectively.

• A growth mindset with a passion for generative AI and a drive to pioneer cutting-edge solutions in a fast-paced environment.

You'll Thrive Here If You

• Lead with empathy and curiosity. You invest time in understanding your customers’ priorities and how Generative Media can advance their goals.

• Are passionate about AI. You’re excited by the potential of generative models to transform creativity, media, and business outcomes.

• Love to build. You thrive in fast-growing environments where you can shape systems, processes, and playbooks from the ground up.

• Welcome ambiguity. You approach new challenges with creativity, persistence, and an experimental mindset.

Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

Compensation

• $300,000 - $360,000 OTE + equity + comprehensive benefits package

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

Canada Pay Range $162,400-$219,600 CAD

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Key responsibilities include:

• Architecture and design of distributed protocols with an emphasis on security, performance, and scalability
• Writing, deploying, and testing smart contracts and maintaining them in production
• Developing and owning best practices for protocol upgrades and versioning across different networks
• Collaborating with engineering, product, and design on the user-facing applications built around our smart contract protocols
• Mentoring other engineers in in-depth Solidity/EVM topics and best practices

We're looking for someone with 6+ years of relevant industry experience, 2+ years of smart contract development, and extreme proficiency with Solidity and the EVM. Experience designing distributed protocols, building and managing high traffic smart contracts, and working with startups is a plus.

Alchemy offers competitive compensation, including base salary as well as equity, comprehensive medical, dental, and vision coverage, and unlimited flexible time off. The base salary range for this position is estimated to be between $135,000 - $350,000 annually.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.

We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Key responsibilities:

• Harness frontier models to drive real-world high-impact outcomes

• Build evaluations, training data, and infrastructure to support AI deployments and rapid iterations

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Contribute signal to influence the development of frontier models

• Lead the architecture and development of new products & features from 0 to 1.

About you:

In order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development, and with data structures/algorithms.

• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment

• Proven experience in rapidly developing and shipping software products.

• Deep understanding of software development best practices, including testing & deployment.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

• Ability to work in a fast-paced environment and adapt to changing priorities.

Preferred Skills:

• Experience with generative AI research or applications.

• Contributions to open-source projects.

• Experience working in, or founding early stage startups.

• Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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The ideal candidate brings deep experience in B2B customer marketing within EMEA, with a strong affinity for the startup ecosystem and a proven track record of building customer advocacy programs from the ground up. You'll execute engagement strategies that resonate with technical founders, developers, and engineering leaders while navigating the diverse cultural nuances and market dynamics across European tech hubs.

Responsibilities:

• Develop compelling customer narratives,case studies, technical deep-dives, founder testimonials, thought leadership, video content,that resonate with EMEA startup audiences and showcase how AI-native companies are building with Claude
• Define the EMEA startup customer segmentation and tiering framework, mapping accounts from early-stage through growth-stage across European markets to guide advocacy prioritization and resource allocation
• Balance high-touch programming for marquee EMEA startup customers with scalable customer marketing initiatives that reach the broader developer and founder community across the region
• Design and execute personalized engagement strategies for strategic startup accounts, ensuring programming resonates with technical founders and engineering leaders while addressing regional market dynamics
• Orchestrate key moments programming including founder dinners, customer speaking opportunities at EMEA conferences, technical workshops, and startup showcase events across key tech hubs (London, Berlin, Paris, Amsterdam, Stockholm)
• Develop EMEA startup customer advisory programs that create authentic experiences and deepen relationships with highest-value accounts and influential founders across the region
• Partner with EMEA Startups Sales leadership and Venture Partnerships to identify expansion opportunities and ensure customer marketing initiatives directly support account growth and VC portfolio engagement
• Coordinate with strategic EMEA and global VC partners on co-marketing opportunities featuring portfolio company success stories
• Build and manage a regional programming calendar that balances customer advocacy activities with strategic account engagement across the EMEA startup ecosystem
• Identify and cultivate strategic customer relationships with founders and technical leaders across EMEA who can serve as powerful advocates and reference points for the startup community
• Create content that earns respect from technical audiences,authentic founder stories, technical implementation deep-dives, and developer-focused case studies tailored for EMEA markets

You may be a good fit if you:

• Have 6+ years of B2B customer marketing experience within SaaS or technology companies, ideally within EMEA markets or with significant EMEA responsibility
• Have a proven track record building customer advocacy programs from scratch, with demonstrated success in customer storytelling, advocacy program development, and account engagement
• Have experience marketing to and building relationships with high-growth EMEA startups and technical founders
• Can speak credibly to technical audiences,understand AI concepts, developer workflows, and technical use cases well enough to identify and tell compelling stories
• Have a strategic yet hands-on approach,ability to balance high-touch marquee customer programming with scaled programs, understanding when each approach is appropriate
• Have deep understanding of EMEA market dynamics, regional preferences, and cultural nuances that inform customer engagement strategies within the startup ecosystem
• Have exceptional storytelling abilities,can identify compelling customer narratives and bring them to life across multiple formats that feel authentic, not corporate
• Have a fast-paced working style with strong bias to action,comfortable shipping 80% solutions quickly and iterating, with ability to pivot as priorities shift
• Can thrive in ambiguity and startup environments, building programs with minimal guidance
• Have a background in B2B tech, ideally with experience at fast-paced scale-ups or developer-focused companies
• Currently based in EMEA region, and if applicable, willing to relocate to London

Strong candidates may also:

• Have experience building relationships with EMEA VCs, accelerators, or partnering with VC firms to drive portfolio engagement and co-marketing
• Have previous experience at leading AI companies or marketing AI/ML products specifically
• Have experience in community building, customer advisory programs, or founder community management
• Have former founder experience or early employee at a successful startup
• Have experience scaling customer marketing programs across multiple European markets
• Have fluency in additional European languages (French/German)

Role-specific policy: For this role, we expect all staff to be able to work from our London office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: £160,000-£160,000 GBP

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You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes,including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritize, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modeling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master,a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximize coverage, accuracy, and cost efficiency while minimizing redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation,write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact,using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required),including data modeling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities,able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset,equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimization

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

• Familiarity with data quality and MDM (Master Data Management) frameworks and tools

• Experience with routing and scoring tools such as LeanData, and marketing automation platforms

• Background in startup signal detection,identifying high-potential early-stage companies through funding, hiring, technographic, and intent signals

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $190,000-$270,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the one

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We're looking for a Developer Marketing Lead who thrives in the creative chaos of early-stage startups. You've built pipelines at a tech company before and loved the variety - producing customer success stories one day, coordinating events the next, rolling out ad campaigns the day after. As our sole marketing hire, you'll have the freedom to own the entire marketing function. If you're energized by the challenge of making developers care about tooling to increase their productivity and get a kick out of seeing your work directly move the revenue needle, this role is for you.

You will have two strategic objectives: grow revenue and accelerate our move into the enterprise market. The responsibilities below reflect our current best thinking on how marketing can drive these goals - but we expect you to challenge, refine, and evolve these tactics as you learn what works. What matters is hitting the objectives; how you get there is yours to shape. You also will have the opportunity to partner closely with our Founders to craft the strongest messaging.

Responsibilities

• Own the marketing strategy and execution - Design and run campaigns across both bottom-up (developer-led, community) and top-down (enterprise ABM, executive messaging) motions. Drive pipeline from first touch through enterprise adoption. Lean on our Founders to help craft the best messaging.
• Build enterprise demand generation - Execute campaigns targeting large engineering orgs, create executive-level positioning for Directors/VPs/CTOs, and enable Sales with competitive intel, messaging, and materials that close deals.
• Optimize paid and organic acquisition - Own the full funnel from awareness to SQL. Manage community sponsorships, paid campaigns, SEO, content distribution, and events. Set up attribution and kill what doesn't work.
• Launch products and be the cross-functional hub - Own GTM for new releases. Work embedded with DevRel, Product, Engineering, and Sales to amplify technical content, shape roadmap with market insights, and build systems that make the whole company better at marketing.

Requirements

• 5-7+ years of B2B marketing experience with at least 3 years of marketing to developers or technical audiences
• Proven demand generation chops - Track record of building and scaling acquisition funnels with measurable impact on pipeline and revenue
• Strong instincts for technical messaging - ability to translate complex developer tools into clear value props and positioning (please share samples in application)
• Resourceful executor with startup DNA - You've thrived in lean environments where you've personally built landing pages, written ad copy, managed event logistics, created sales decks, and jumped in wherever needed to move the needle
• Cross-functional collaboration - Experience partnering with Product, Sales, and DevRel/Community teams in fast-moving environments

Nice to Have

• Built marketing at Series A-C stage startups - as an early hire
• Worked in developer productivity categories (devtools, infrastructure, API) and understand developer workflows, pain points, and buying behavior
• Managed agencies or contractors to extend your leverage
• Technical background
• Based in SF/Bay Area and comfortable with Pacific Time working hours

Benefits

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Flexibility to be fully or partly remote
• Up to $200/month stipend for coworking space for remote folks
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

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This is a hands-on security engineering role; not a GRC or project management role. You'll identify the frameworks that apply, architect the vessel's security to satisfy them, and drive authorization to completion. Where standards don't yet exist, you'll define them.

Key Responsibilities:

• Own the security posture for one or more vessel programs from architecture through fielding, serving as the responsible security engineer for the product
• Drive threat modeling across vessel subsystems including embedded compute, communications, navigation, propulsion controls, sensor fusion, and C2 interfaces and define security architectures, trust boundaries, and segmentation strategies based on findings
• Identify and mitigate security risks unique to autonomous maritime platforms, including GPS/GNSS spoofing, RF interference, sensor manipulation, supply chain compromise, and physical access threats
• Own the end-to-end authorization lifecycle for vessel programs, from initial security planning through ATO or equivalent customer authorization milestones
• Navigate DoD cybersecurity authorization frameworks including RMF, CSRMC, and service-specific requirements across Navy, Coast Guard, Marine Corps, and joint programs
• Prepare and maintain authorization artifacts, security documentation, and evidence packages that satisfy Authorizing Officials and program offices
• Identify and map applicable compliance frameworks for each vessel and customer segment including NIST SP 800-53, NIST SP 800-171, CMMC 2.0, FedRAMP, IEC 62443, IMO MASS Code, and IACS UR E26/E27 and proactively define Saronic's compliance posture where standards are still emerging
• Engage directly with government program offices, Authorizing Officials, DOT&E evaluators, and classification societies as a credible technical representative of Saronic's security posture
• Support cybersecurity testing and evaluation efforts, including preparation for operational test events, red team assessments, and cooperative vulnerability assessments
• Partner with supply chain and manufacturing teams to address hardware provenance, firmware integrity, and anti-tamper requirements for production vessels
• Work with Legal and Contracts to ensure security and compliance requirements are accurately reflected in customer agreements, proposals, and contract deliverables

Required Qualifications:

• 6+ years of hands-on experience in product security, systems security engineering, authorization engineering, or a closely related security engineering role for defense or high-assurance platforms
• Strong understanding of DoD cybersecurity authorization processes (RMF, ATO/IATT, CSRMC, continuous ATO) with experience contributing to or driving systems through authorization
• Working knowledge of NIST SP 800-53, NIST SP 800-171, and CMMC 2.0 and their application to weapons systems, autonomous platforms, or similarly complex defense products
• Experience with threat modeling, security architecture, or risk assessment for cyber-physical systems, embedded systems, or operational technology environments
• Strong technical foundation, able to read architecture diagrams, evaluate security controls at a systems level, and hold credible technical conversations with hardware, software, and cloud engineers
• Ability to clearly communicate with both technical and non-technical stakeholders, including production of security documentation and authorization artifacts
• Ownership mindset with the ability to operate in ambiguity, define the path forward, and move work to completion across teams
• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience as a product security lead, systems security engineer, or authorization lead for a defense platform or program of record
• Direct experience engaging with government Authorizing Officials, program offices, or DOT&E as a technical security representative
• Experience in defense technology startups, DARPA programs, or organizations that move at speed within the defense acquisition system
• Familiarity with maritime-specific frameworks including IMO MASS Code, IACS UR E26/E27, IEC 62443, or classification society autonomous vessel rules
• Understanding of autonomous systems security challenges including communications security, electronic warfare hardening, GPS/GNSS resilience, and AI/ML system security
• Experience with ITAR/EAR compliance, supply chain security, or manufacturing security for defense products
• Familiarity with the defense acquisition lifecycle and how authorization milestones integrate into program schedules

Additional Information:

• Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance
• This role requires access to export-controlled information or items that require “U.S. Person” status.

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This role sits at the intersection of quantum hardware, systems engineering, and software infrastructure, ensuring that cross-disciplinary teams deliver integrated quantum systems on schedule.

As a Senior TPM, you will own the planning and execution of large technical programs that bring these components together into deployable quantum systems.

You will operate in a fast-moving deep-tech environment where many efforts are research-driven and technically ambiguous, requiring strong judgment, technical understanding, and execution discipline.

Program Leadership

• Own the end-to-end delivery of complex technical programs at the system level.
• Build and maintain program roadmaps, milestones, and integration schedules for quantum system releases.
• Drive execution across multiple engineering teams while maintaining alignment with company priorities.

Cross-Functional Execution

• Coordinate work between teams, including:
• Quantum device & fabrication
• Cryogenic, control hardware and software
• Manage dependencies and integration across the quantum computing stack.

Systems Integration

• Lead cross-team integration planning for new quantum processor generations and system deployments.
• Ensure alignment between research milestones and engineering deliverables.
• Track readiness across hardware, firmware, and software layers.

Risk & Decision Management

• Identify technical, schedule, and operational risks early.
• Facilitate data-driven decisions with engineering leadership.
• Drive resolution of cross-team blockers and competing priorities.

Operational Excellence

• Establish scalable program management practices for deep-tech R&D.
• Improve engineering planning, milestone tracking, and program reporting.
• Support leadership with clear program visibility and status reporting.

Required Qualifications

• 7+ years of experience in technical program management, engineering program management, or systems engineering.
• Experience delivering complex multidisciplinary technology programs.
• Strong understanding of hardware + software system development lifecycles.
• Demonstrated ability to lead programs across multiple specialized engineering teams.
• Exceptional communication and stakeholder management skills.
• Ability to operate effectively in ambiguous, research-driven environments.

Preferred Qualifications

• Experience in quantum computing, semiconductors, advanced hardware systems, or deep-tech startups.
• Background working with R&D organizations or research-to-product transitions.
• Experience with large-scale system integration programs.
• Familiarity with Agile or hybrid development models in hardware/software environments.
• Degree in Engineering, Physics, Computer Science, or related technical discipline

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As a Security Researcher, you'll play a pivotal role in safeguarding these innovations by anticipating, identifying, and mitigating risks before they materialize. This isn't just about finding vulnerabilities; it's about shaping the future of secure AI by embedding an attacker's mindset into everything we build.

You'll work at the intersection of offensive security, AI safety, and product development, collaborating with cross-functional teams to harden our systems against evolving threats. Your expertise will directly influence how we design, deploy, and protect our most critical assets , ensuring our agents remain resilient, trustworthy, and ahead of adversaries.

Key responsibilities include:

• Proactively hunting for vulnerabilities in the interactions between our agentic applications, cloud infrastructure, and foundational models, with a focus on realistic, high-impact attack vectors.

• Designing and executing red and purple team exercises, simulating sophisticated adversarial scenarios to stress-test our defenses and refine our detection capabilities.

• Partnering with defensive teams to translate offensive insights into actionable improvements, from detection engineering to incident response.

• Conducting in-depth penetration testing across our product suite, including AI-driven workflows, custom infrastructure, and user-facing interfaces.

• Building and automating offensive tooling to scale your impact, leveraging cutting-edge techniques to stay ahead of emerging threats.

• Communicating findings with clarity and conviction, ensuring technical and non-technical stakeholders understand risks and prioritize mitigations effectively.

• Shaping Mistral AI's security strategy by contributing attacker-informed perspectives to threat modeling, risk assessment, and architectural decisions.

We're looking for someone with 7+ years of offensive security experience, deep knowledge of AI/ML security risks, and hands-on experience assessing modern technology stacks. A builder's mindset, strong intuition for trust boundaries, and outstanding communication skills are also essential.

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You will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. Additionally, you will enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices.

This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

Job Responsibilities:

• Develop best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.). Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers.

• Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures. Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies.

• Improve credit monitoring and governance: Build dashboards to monitor portfolio health and strategy performance. Develop and implement improvements to credit portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments

Required Qualifications:

• 2+ years in analytics within credit risk management.

• Fluent in English.

• Excellent written and verbal communication skills.

• Intellectual curiosity.

• Ability to translate complex data and model results into actionable business strategies.

• Proficiency in SQL and Excel.

• Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.)

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You'll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow's dashboards.

Responsibilities:

• Spin up lightweight client libraries, demo apps, or event microsites in a few hours.
• Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.
• Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).
• Our content consistently drives qualified sign-ups and sparks industry conversations.
• Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”
• Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”

Nice to have:

• Prior experience in PLG or developer-tool startups
• Familiarity with growth analytics stacks
• A portfolio of technical writing, open-source libs, or side projects

Compensation:

$170,000 - $220,000 + equity + comprehensive benefits package

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The Head of Acquisitions / Sales is a critical leadership role responsible for building, managing, and scaling Flock's acquisitions organization. This role sits at the intersection of sales, investments, and operational excellence, and will directly influence Flock's ability to grow efficiently while maintaining high asset and client quality.

Responsibilities

• Manage our team of SFR Directors and Client Growth Associates, building accountability, discipline, and a culture of high performance.
• Recruit and grow the acquisitions team as the company scales, bringing in the right people and ramping them effectively.
• Work closely with leadership to increase deal velocity and conversion rates , improving existing processes and building new ones.
• Partner with Engineering, Investments, Client Relations, Legal, and Capital Markets to bring high-quality assets and well-aligned clients into the Fund.
• Support leadership in complex portfolio transactions and, over time, lead them independently.
• Lead from the front , conduct hands-on deal work, understand the org from the inside, and build your leadership on a foundation of knowing exactly how this business works.

About You

• You have deep experience in investment management and know how to sell. You've probably spent time at a startup. You're hungry , not because you have to be, but because that's how you're wired.
• You have 8-12 years of experience spanning investment management , equities, credit, real estate, or alts , and time at a startup, ideally one selling a complex or regulated product. You have a genuine understanding of how investment funds work.
• You can sell. You've done it , at a startup, in financial services, or both.
• You have high EQ. You connect easily with people from all backgrounds, understand what motivates them, and know how to move a conversation forward.
• You're intellectually curious with a high slope , you pick things up fast and are eager to learn from people around you.
• You're a systems thinker. You see gaps in processes, cut through noise, and understand how the pieces of an organization fit together.
• You communicate clearly , in writing, in conversation, and in the way you run a team.
• You operate with extreme rigor. High attention to detail. Meticulous about data. You hold yourself to a high standard and expect the same from the people around you.
• You have uncompromisable integrity. We shouldn't need to elaborate on this one.
• You practice dead reckoning , you don't wait for perfect information or fully built systems. You use judgment, take action, and adjust as you learn.

Even if you don’t meet 100% of the qualifications, we recommend applying to the role!

Compensation: $400-450K On Target Earnings, plus equity and benefits (medical/dental/vision insurance, 401k, and unlimited PTO).

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Responsibilities:

• Support and execute high-impact video and photography projects across brand, product and culture.
• Assist with end-to-end video production: concepting, scripting, shooting, lighting, editing and delivery.
• Shoot video content across office, studio and on-location environments.
• Edit fast-paced, high-quality video content using Premiere Pro, with light motion graphics and VFX in After Effects.
• Capture photography including product, lifestyle, brand and team content.
• Help write scripts, hooks, captions and short-form copy for social and digital platforms.
• Translate Fuse's mission, technology and ambition into engaging visual stories.
• Contribute creative ideas and help raise the bar for Fuse's visual output.

Requirements:

• A student, recent graduate or early-career creative with strong interest in videography, photography and storytelling.
• A portfolio (or showreel) that demonstrates strong visual taste and creative thinking — personal projects welcome.
• Comfortable editing in Premiere Pro.
• Basic to strong working knowledge of After Effects (motion graphics / light VFX).
• Confident shooting video and photos, with a good eye for lighting and composition.
• Interest in startups, technology, climate or consumer brands is a plus.
• Self-motivated, curious, detail-oriented and eager to learn.
• Access to your own camera kit is a plus, but not required.

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This role will be responsible for building out the Product Marketing practice at Constructor - owning Constructor’s product positioning, messaging architecture, launch strategy, and competitive intelligence.

Reporting to the Chief Marketing Officer, you’ll partner closely with sales, product, customer success, growth marketing, and executive leadership to help ecommerce retailers understand the advantages to using Constructor.

Constructor is an incredibly powerful and broad platform with a high velocity of feature and product releases designed for different types of users across ecommerce.

We're looking for someone who can bring clarity and precision to that complexity: someone who can define and articulate what makes each product or capability truly differentiated, and help ensure customers and prospects alike understand the full value of each element.

This position is equal parts strategist and builder - setting direction, developing people, and rolling up your sleeves to build the many artifacts that form a robust product marketing org.

You will work closely with our product leaders to launch new products, add-ons and features, with our content marketing team to create thought leadership, with growth marketing to drive pipeline and product content and with sales to ensure the GTM functions are enabled on key launches and competitors.

Any feature or product launch, with the product team, will include a bill of materials focused on value proposition, personas, objection handling, competition and more.

Responsibilities

Product Positioning and messaging

• Define and evolve clear, differentiated positioning across our platform, products, and key features

• Translate complex product capabilities into customer-facing language that emphasizes outcomes and value

• Build and maintain messaging frameworks that scale across marketing, sales, and customer teams

• Create educational content in the form of thought leadership content, blog posts, tutorials, videos etc. that support initiatives

• Collaborate with the content and growth marketing team on customer story and case study creation

• Equip Sales with the narratives, tools, and content to win

Go-to-market leadership

• Lead and orchestrate product launches from strategy through execution that are crisp, focused, and actually land with customers

• Partner with Product on roadmap communication and prioritization

• Identify gaps in capabilities and proactively build the function to address them

Customer & market insight

• Be the voice of the customer and the market internally

• Drive deep understanding of buyer personas, ICP, industry knowledge, use cases, and buying triggers

• Own competitive intelligence and positioning

Team leadership

• Build, mentor, and lead a high-performing product marketing team

• Partner closely with Product, Demand, and Sales leaders

• Leverage AI and modern tools to gain insights, streamline processes, and improve efficiency

Requirements

• 10+ years in B2B SaaS marketing, with significant product marketing leadership experience

• Background in ecommerce and/or retail tech is a plus

• Experience at high-growth startups where agility, resourcefulness, and a strong sense of ownership are vital

• Proven success owning positioning, messaging, and GTM for complex, technical products

• Experience managing and scaling PMM teams

Skills

• Exceptional storyteller — written, verbal, and visual - who brings creativity to every element

• Deep comfort with technical or complex products and familiarity with AI/ML fundamentals

• Strong cross-functional leader who can influence without authority

• Analytical mindset with the ability to support strategic decisions with market research and performance data; skilled in ROI analysis and experimentation.

• Excellent project management and attention to detail, able to manage complex initiatives from concept to execution.

• A growth mindset with creativity, ambition, and a proactive approach to problem-solving and innovation.

Mindset

• Customer-obsessed and market-driven

• Strategic thinker who still enjoys being hands-on

• Comfortable with ambiguity and rapid change

• Creative mind who brings fresh perspectives

• High standards, low ego

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

• A competitive compensation package including stock options

• Fully remote team - choose where you live

• Work from home stipend! We want you to have the resources you need to set up your home office

• Apple laptops provided for new employees

• Training and development budget for every employee, refreshed each year

• Maternity & Paternity leave for qualified employees

• Work with smart people who will help you grow and make a meaningful impact

• Diversity, Equity, and Inclusion at Constructor

At Constructor we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

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As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You

• Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or Big 3 / Big 4 professional services and consulting firms.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple work-streams in regulated industries.

• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset — you're here to create a function, not join one.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.

You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master—a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximise coverage, accuracy, and cost efficiency while minimising redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation—write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact—using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required)—including data modelling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities—able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset—equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimisation

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

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We are looking for a customer marketing leader to build and scale our customer marketing function for the Startups segment across EMEA. In this role, you'll craft compelling founder and developer success stories, design co-marketing programs with high-growth startups, and orchestrate key moments that deepen relationships with technical leaders at our most innovative startup customers across European markets.

Responsibilities:

• Develop compelling customer narratives—case studies, technical deep-dives, founder testimonials, thought leadership, video content—that resonate with EMEA startup audiences and showcase how AI-native companies are building with Claude

• Define the EMEA startup customer segmentation and tiering framework, mapping accounts from early-stage through growth-stage across European markets to guide advocacy prioritization and resource allocation

• Balance high-touch programming for marquee EMEA startup customers with scalable customer marketing initiatives that reach the broader developer and founder community across the region

• Design and execute personalized engagement strategies for strategic startup accounts, ensuring programming resonates with technical founders and engineering leaders while addressing regional market dynamics

• Orchestrate key moments programming including founder dinners, customer speaking opportunities at EMEA conferences, technical workshops, and startup showcase events across key tech hubs (London, Berlin, Paris, Amsterdam, Stockholm)

• Develop EMEA startup customer advisory programs that create authentic experiences and deepen relationships with highest-value accounts and influential founders across the region

• Partner with EMEA Startups Sales leadership and Venture Partnerships to identify expansion opportunities and ensure customer marketing initiatives directly support account growth and VC portfolio engagement

• Coordinate with strategic EMEA and global VC partners on co-marketing opportunities featuring portfolio company success stories

• Build and manage a regional programming calendar that balances customer advocacy activities with strategic account engagement across the EMEA startup ecosystem

• Identify and cultivate strategic customer relationships with founders and technical leaders across EMEA who can serve as powerful advocates and reference points for the startup community

• Create content that earns respect from technical audiences—authentic founder stories, technical implementation deep-dives, and developer-focused case studies tailored for EMEA markets

You may be a good fit if you:

• Have 6+ years of B2B customer marketing experience within SaaS or technology companies, ideally within EMEA markets or with significant EMEA responsibility

• Have a proven track record building customer advocacy programs from scratch, with demonstrated success in customer storytelling, advocacy program development, and account engagement

• Have experience marketing to and building relationships with high-growth EMEA startups and technical founders

• Can speak credibly to technical audiences—understand AI concepts, developer workflows, and technical use cases well enough to identify and tell compelling stories

• Have a strategic yet hands-on approach—ability to balance high-touch marquee customer programming with scaled programs, understanding when each approach is appropriate

• Have deep understanding of EMEA market dynamics, regional preferences, and cultural nuances that inform customer engagement strategies within the startup ecosystem

• Have exceptional storytelling abilities—can identify compelling customer narratives and bring them to life across multiple formats that feel authentic, not corporate

• Have a fast-paced working style with strong bias to action—comfortable shipping 80% solutions quickly and iterating, with ability to pivot as priorities shift

• Can thrive in ambiguity and startup environments, building programs with minimal guidance

• Have a background in B2B tech, ideally with experience at fast-paced scale-ups or developer-focused companies

• Currently based in EMEA region, and if applicable, willing to relocate to London

Strong candidates may also:

• Have experience building relationships with EMEA VCs, accelerators, or partnering with VC firms to drive portfolio engagement and co-marketing

• Have previous experience at leading AI companies or marketing AI/ML products specifically

• Have experience in community building, customer advisory programs, or founder community management

• Have former founder experience or early employee at a successful startup

• Have experience scaling customer marketing programs across multiple European markets

• Have fluency in additional European languages (French/German)

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We're looking for an exceptional motion designer to help evolve Cursor's motion identity as we scale towards a universal platform for building software. As we grow, we're building a brand studio focused on setting a high bar for creative excellence in a fast-moving company where brand and design play a meaningful role. This is a foundational role, with the opportunity to define Cursor's motion language and establish systems that scale across marketing, product, and brand as the company grows.

What you'll do

• Evolve Cursor's motion identity and create scalable systems across product, marketing, and community

• Own motion work end-to-end — from narrative, storyboards and prototyping through final execution across product launches, campaigns, digital, film, content, and events

• Design for multiple audiences — from experienced developers to designers exploring code for the first time

• Develop and optimise motion workflows, including the integration of new tools to improve efficiency and scalability

• Collaborate with product designers to ensure motion consistency across the user experience

• Collaborate with external motion partners and provide clear creative feedback

• Ship fast, iterate constantly. Let the brand evolve as the product and company grow

You may be a fit if

• You have a portfolio demonstrating strong motion craft, typography, and strategic thinking across formats — from digital campaigns to motion systems and events

• You've built or evolved motion identities for technical products, developer-focused companies, or culturally defining brands

• You have experience creating engaging product launches and UI animation for software products

• You bring strong attention to pacing, composition, typography, and sound

• You have strong art direction skills, with the ability to set a clear creative bar and guide external creative partners

• You can articulate design decisions and rally teams around a creative vision

• You're comfortable working in fast-paced, high-growth environments with ambiguity and complexity

• You're ambitious, opinionated, and comfortable taking ownership to push work forward

• Nice to have: Experience working at both fast-paced startups and agencies

• Nice to have: Background in 3D or illustration

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We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience.

This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams.

Responsibilities

• Lead Product Marketing for our Launches: Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated.

• Shape Messaging & Positioning: Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels.

• Create Sales & Growth Enablement: Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently.

• Lead Competitive and Market Insights: Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out.

• Co-market with our Partner ecosystem

You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives

• Analyze & Learn: Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies.

Requirements

• Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space)

• Love building from scratch — frameworks, processes, teams, and strategy

• Excellent written communication and storytelling skills, with the ability to simplify complexity

• Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync

• Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook

• Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories

• Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure

• Experience with sales enablement and competitive positioning for technical audiences

• A collaborative, low-ego approach and willingness to dig into the details

Bonus Points

• Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams

• Experience with Partner/Ecosystem Marketing — to start with, we are looking for a generalist who can also help out with Partner Marketing

• Experience at a startup or high-growth environment where speed and adaptability matter

• Understanding of AI and machine learning technologies

• A track record of successful launches for developer-facing products

Example Projects

• Establishing a repeatable launch rhythm for major features and smaller updates

• Building a competitive intelligence framework for the AI coding assistant space

• Developing persona-driven messaging for builders across different segments and company sizes

• Launching and executing co-marketing initiatives with Replit’s partner ecosystem

• Coordinating cross-functional launches with engineering, product and marketing

• Defining metrics and feedback loops between product, marketing, and the our builder community

Benefits

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

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Platform Engineer, Forward Deployed Engineering (FDE) - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $230K – $385K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.

The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.

About the role

Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.

You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.

This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <%, with occasional spikes for key embeds or launches.

In this role you will

• Provide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.

• Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.

• Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.

• Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.

• Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.

You might thrive in this role if you

• Bring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.

• Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).

• Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).

• Communicate clearly across engineering, product, go-to-market, and customer-facing teams to drive alignment and shared understanding of customer needs and technical tradeoffs.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$198K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.

This role is based in our NYC HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale.

• Provide proactive guidance to maximize business impact and accelerate application development.

• Experiment and prototype alongside customers, demonstrating practical use cases.

• Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources.

• Synthesize and deliver valuable feedback to the Product and Research teams.

• Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.

You’ll thrive in this role if you:

• Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.

• Have passion for startups and a belief in their potential to become future large enterprises.

• Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.

• Built and/or delivered prototypes on top of our API platform.

• Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• Zone A$198K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

The Solutions Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, partnering directly with founders and technical teams to design, build, and scale new AI products on OpenAI.

About the Role

We are seeking a technically proficient, product-minded Solutions Engineer to help push the frontier of advanced AI with our startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Architecture, Applied Research, and Product teams, and you will report to the Startups Solutions Engineering Lead.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Partner closely with startups as their technical thought partner to build novel applications on our API, helping them move rapidly from initial concept to production at scale.

• Create and deliver repeatable guidance for the broader startup ecosystem by publishing best practices, sample apps, deployment patterns, and technical playbooks, and by leading workshops, office hours, hackathons, and founder roundtables.

• Collaborate with Product and Research to ensure our models and platform continue to deliver frontier-level performance on real startup workloads.

• Synthesize high-fidelity product and model feedback from a broad portfolio of startups and translate it into clear, prioritized requirements that shape our roadmap.

You’ll thrive in this role if you:

• Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.

• Have passion for startups and a belief in their potential to become future large enterprises.

• Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.

• Built and/or delivered prototypes on top of our API platform.

• Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Offensive Security Engineer, Hardware

Location

San Francisco

Employment Type

Full time

Department

Security

Compensation

• San Francisco$293K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

We're seeking an exceptional Principal-level Offensive Security Engineer to challenge and strengthen OpenAI's security posture. This role isn't your typical red team job - it's an opportunity to engage broadly and deeply, craft innovative attack simulations, collaborate closely with defensive teams, and influence strategic security improvements across the organization.

You'll have the chance to not only find vulnerabilities but actively drive their resolution, automate offensive techniques with cutting-edge technologies, and use your unique attacker perspective to shape our security strategy. This role will be primarily focused on continuously testing our hardware products and related services.

In this role you will:

• Collaborate proactively with engineering teams to enhance security and mitigate risks in hardware, firmware, and software.

• Perform comprehensive penetration testing on our diverse suite of products.

• Leverage advanced automation and OpenAI technologies to optimize your offensive security work.

• Present insightful, actionable findings clearly and compellingly to inspire impactful change.

• Influence security strategy by providing attacker-driven insights into risk and threat modeling.

You might thrive in this role if you have:

• 7+ years of hands-on experience or exceptional accomplishments demonstrating equivalent expertise.

• Exceptional skill in code review, identifying novel and subtle vulnerabilities.

• Demonstrated mastery assessing complex technology stacks, including:

• Proven ability to reverse engineer bootrom images, firmware, or silicon-level components.

• Deep familiarity with low-level kernel operations, secure boot processes, and hardware-software interactions.

• Hands-on experience building and validating secure boot chains and threat models.

• Proficiency with hardware debugging tools (UART, JTAG, SWD, oscilloscopes, logic analyzers).

• Solid programming skills in C/C++, Python, or assembly for embedded systems.

• Industry experience securing consumer hardware (e.g., mobile devices, IoT, chipsets).

• Excellent written and verbal communication skills for technical and non-technical audiences.

• Strong intuitive understanding of trust boundaries and risk assessment in dynamic contexts.

• Excellent coding skills, capable of writing robust tools and automation for offensive operations.

• Ability to communicate complex technical concepts effectively through compelling storytelling.

• Proven track record of not just finding vulnerabilities but actively contributing to solutions in complex codebases.

Bonus points:

• Prior experience working in tech startups or fast-paced technology environments.

• Experience in related disciplines such as Software Engineering (SWE), Detection Engineering, Site Reliability Engineering (SRE), Security Engineering, or IT Infrastructure.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives and experiences of our team members.

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What you'll do

• Full-cycle recruiting for Operations roles — from intake and role scoping to offer and close across functions like People, Finance, Legal, IT, and more.

What you need

• Proven experience in full-cycle recruiting for operations, corporate functions, or cross-functional business roles.

What your day might look like

• Full-cycle recruiting for Operations roles — from intake and role scoping to offer and close across functions like People, Finance, Legal, IT, and more.

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What you'll do

This is a role for someone who views sourcing as a craft. You'll operate in a fast-paced, high-growth environment, juggling multiple searches at once, navigating geographical nuances, and uncovering high-potential GTM talent in places others don't look.

What you need

• Demonstrated experience sourcing top 1% of GTM talent: Account Executives, SDRs, Customer Success, Partnerships, Solutions, or other revenue-facing roles.

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