Find AI Work That Works for You

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About this role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.  You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.  Responsibilities: Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company You might be a good fit if you have: 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context 3+ years of experience deeply embedding in Product teams A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools A bias for action and urgency, not letting perfect be the enemy of the effective A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress A deep curiosity and energy for pulling the thread on hard questions Experience in turning open questions and data into concise and insightful analysis Highly effective written communication and presentation skills The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$275,000—$355,000 USDLogistics 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 get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick.Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers. About the Role:We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions.Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a team of high-performing platform engineers and SREs.Foster a culture of technical excellence, collaboration, and customer service.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables.Technical Strategy & Execution:Work with the engineering team to drive strategy for internal CI/CD and Cloud services.Develop self-service abstractions to make our platform tooling easier to adopt and use.Lead the broader engineering organization in best-practices adoption of CI/CD, Workflow, and Cloud services.Manage costs of both vendors and internally developed platforms.Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions.Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform.Guide Lambda engineering in utilization of AWS services in line with our technical standards.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Identify gaps in our platform engineering posture and drive resolution.Lead the team in supporting our internal customers from across Lambda engineering.Cross-Functional Collaboration:Work closely with Lambda product engineering teams on requirements and planning to meet their needs.Work to understand the needs of engineering teams and drive our Platform solutions towards self-service.Manage a short list of vendors that provide SaaS solutions used at Lambda.YouExperience:7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role.Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.Experience managing, monitoring, and scaling CI/CD platforms.Deep experience using and operating AWS services.Solid background in software engineering and the SDLC.Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience driving organizational improvements (processes, systems, etc.)Experience managing AWS service usage across a broader engineering organization.Experience in AWS spend management.Experience designing solutions using Temporal workflows; ability to act as an internal consultant for Temporal.Experience with Kubernetes.Experience designing scalable distributed systems.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs our first Data Analyst at Norm, you will establish and own our entire data capability from the ground up. You'll build the analytics infrastructure and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable data insights while building the foundation for future analytics initiatives.You Will:Be the first member of the Data team at Norm, establishing the team and determining what the Data practice at Norm looks like.Build end-to-end data infrastructure from scratch, including pipelines, warehousing, and ETL/ELT processesImplement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflowsCreate measurement frameworks for evaluating AI model performance in real-world legal and compliance contextsDesign and implement self-service analytics capabilities using modern tools like Hex for visualization and dbt for semantic modelingSet up and maintain data pipelines using tools like Fivetran and orchestration platforms like AirflowEstablish data governance practices that meet enterprise security and regulatory compliance requirementsBuild dashboards and KPIs that drive strategic product and business decisionsSkills & Experience - Core5-7 years of analytics experience, ideally with 1-2 years of data engineering exposureStrong analytical background with experience at small startups where you've worn multiple data hatsProficiency with SQL, Python, and modern data stack tools (dbt, Fivetran, Hex, Airflow)Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)Experience building analytics from scratch at early-stage companiesB2B SaaS experience with understanding of enterprise customer analyticsAbility to translate complex business questions into technical data solutionsSkills & Experience - PlusesAnalytics experience in regulated industries (FinTech, RegTech, compliance)Background working with enterprise compliance or legal workflowsStartup experience with rapidly changing analytics requirementsWhat Success Looks Like - 30 DaysDevelop comprehensive understanding of our product and current data landscapeSet up foundational data infrastructure and begin implementing core analytics trackingDocument our data requirements and create a roadmap for analytics capabilitiesEstablish relationships with key stakeholders across Product, Engineering, and Business teamsWhat Success Looks Like - 60 DaysDeploy production data pipelines and establish reliable data collection across the platformLaunch initial set of product analytics dashboards for user behavior and AI model performanceBegin analysis of compliance workflow patterns to identify optimization opportunitiesCreate self-service analytics capabilities for the broader teamComp and Benefits$160,000 - $190,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.

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📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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Director of Analytics & Research📍 Houston, TX (In-Person) | Full-TimeWe are a newly established single-family office in Houston with a mission to generate superior long-term returns. Backed by a young principal with a long investment horizon, we combine a broad mandate with advanced analytics and AI-driven processes to transform how investments are researched, underwritten, and managed. Our team brings experience from top roles across private markets, hedge funds, commodity trading, and global asset management. We are hiring a Director of Analytics & Research to play a pivotal role in shaping our investment strategy and risk framework. This role is ideal for a hands-on leader who wants to innovate at the intersection of technology, research, and investing. This role is based in Houston, TX, and relocation assistance is available. Why Join Us?This is a unique opportunity to build and lead a function at the center of the investment process. You’ll work directly with the CIO, influence decision-making, and apply cutting-edge data science and technology to private market and opportunistic investments.What You’ll DoLead research on macroeconomic, geopolitical, and sectoral trends.Design and manage risk frameworks, including stress-testing.Build dashboards for portfolio monitoring and performance attribution.Oversee data collection and ensure consistency of research inputs.Partner with the investment team to integrate insights into deal evaluationPresent findings to the CIO and Investment CommitteeWhat We’re Looking For10+ years’ experience in research, strategy, consulting, or investment managementStrong background in financial markets and economics (private capital experience a plus)Interest in applying AI/data science to investment researchComfort with tools like Python, SQL, NLP models, LLMs, and visualization platformsEntrepreneurial, collaborative mindset with strong communication skillsAn advanced degree and/or CFA are preferred but not required.What We OfferCompetitive salary and benefits packageAnnual performance-based bonusEmployee share plan tied to portfolio performanceProfit-sharing opportunitiesA chance to be part of a high-achieving, entrepreneurial team at an early stage

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About LightfieldLightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.About the roleWe’re looking for an experienced senior/staff engineer (5+ years of experience) who is product-minded, eager to tackle the challenge of building highly scalable, performant, and reliable features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take end-to-end ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI systems development. You’ll work alongside a talented team to deliver industry-leading solutions and play a key role in shaping Lightfield’s product and technical vision.What you’ll doCollaborate with product leaders to define strategic initiatives, identify critical customer problems, and drive requirements into technical execution.Build and maintain complex full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance.Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.Lead technical design discussions, mentor teammates at multiple levels, conduct thorough code reviews, and help set engineering best practices and standards.Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.Who you are5+ years of experience in software development, with a strong background in both front-end and back-end technologies.Experience building large-scale, high-performance, and mission-critical systems that support complex customer workflows and large-scale data processing.You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.Proven ability to design, architect, and scale distributed systems in production environments.Strong fundamentals in software engineering, with a degree in Computer Science or a related field (or equivalent industry experience).Thrives in ambiguity, able to independently scope, plan, and lead projects while delivering results in a fast-moving environment.Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.Benefits & PerksCompetitive salaryMeaningful early equityHealth insurance (medical, dental, vision)3 weeks of PTO11 paid company holidays + we enjoy a winter holiday break3 months of paid family leaveWednesdays work from homeRegular team dinners, events, offsites, and retreats401k planOther perks include: commuter and lunch stipend

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🌁 Location: San Francisco, in-person only 💰 Salary: $170k - $210k annual salary + 📈 Equity 💻 Languages: Go, Rust, TypeScript, C ✅ Skills: Linux security, container hardening, threat detection, compliance frameworks👉 Who we are E2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.👉 About the role Your job will be to secure the infrastructure where billions of AI agents execute untrusted code daily. You'll be responsible for protecting companies' most sensitive AI workflows while maintaining our sub-200ms performance standards.You'll be building defense-in-depth security for our Firecracker microVM infrastructure, implementing real-time threat detection across tens of thousands of concurrent sandboxes, and ensuring compliance with enterprise security requirements.This role requires deep technical expertise in systems security and the ability to solve novel security challenges in the AI agent execution space.👉 What we're looking for5+ years of experience in production security infrastructureBeing comfortable with securing distributed systems at massive scaleDeep expertise in Linux security primitives (seccomp, eBPF, namespaces)Excited to work in person from San Francisco on cutting-edge AI infrastructureExperience with container security and microVM hardeningTrack record with compliance frameworks (SOC 2, ISO 27001, GDPR)Not being afraid to implement kernel-level security controlsIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be securing infrastructure that protects millions of AI agents with the support of the rest of the team.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.About the roleIn person 5 days/week in San Francisco, CA or New York, NYWe’re hiring a Senior QA / SDET Engineer to own quality across our LangGraph Cloud/Platform and LangSmith products. You’ll define the test strategy, build automation and tooling, and turn flaky, slow, or manual checks into fast, reliable, and observable pipelines. You’ll work closely with Infra, Backend, and Frontend to ship with confidence across Kubernetes-based services, APIs, and UI flows—and you’ll help pioneer quality practices specific to LLM applications (e.g., prompt regressions and evaluation suites).Own test strategy end-to-end across APIs, services, UI, data, and infra (K8s/Terraform/Helm).Build and maintain automation: API/integration tests (Python/pytest), E2E/browser tests (Playwright), load/soak tests (k6), contract tests, and smoke checks for production.Stand up ephemeral test environments in Kubernetes for PRs and release candidates; seed test data and run hermetic suites.Shift-left quality in CI/CD (GitHub Actions): parallelization, caching, deterministic seeds, flake tracking, and quality gates.Observability for tests: rich failure artifacts (videos, logs, traces), Datadog dashboards, and actionable alerts.Performance & reliability: baseline SLIs/SLOs for critical paths; capacity tests and regression detection.Partner on incident workflows: reproduce issues, add focused regression tests, and improve runbooks/postmortems.Documentation: high-signal test plans, playbooks, and contributor guidelines for writing good tests.Example projects you might ownA PR-ephemeral E2E harness that deploys a minimal LangSmith stack on Docker in CI and runs Playwright + API suites against seeded tenants.A k6 scenario that simulates multi-tenant traffic with queue/backpressure, surfacing p95/p99 latency regressions per release.A flake-budget system that auto-quarantines flaky tests, opens issues with artifacts, and tracks “time-to-deflake”.How to be successful in this role3+ years as QA/SDET/Software Engineer focused on test automation for distributed or cloud products.Strong hands-on experience with Python (pytest) and TypeScript (Playwright, Jest or equivalent).Familiarity with CI/CD (GitHub Actions preferred) and making pipelines fast, parallel, and reliable.Solid understanding of API testing, mocking/stubbing, and data setup/teardown.Comfortable defining quality bars, authoring test plans, and driving cross-team execution.BonusLoad/perf testing (k6), observability (Datadog, OpenTelemetry), and property-based testing (Hypothesis).Experience testing services running on Kubernetes and containers; comfortable with logs, events, and basic kubectl.Infra awareness: Helm/Terraform basics, Kubernetes networking, and secrets management.SQL fluency for data validation (Postgres/ClickHouse/BigQuery).Go/Node/React familiarity for targeted white-box tests and testability improvements.Compensation & BenefitsCompetitive salary and equity stake for role and stage of company. Commensurate with experience.Annual salary range: $145,000-$195,000 USD for Senior Engineers

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $23M ARR with just 20 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. Check us out on the Top Lean AI Native Companies Leaderboard at https://leanaileaderboard.com/.About the RoleAs an Ex-founder (Technical), you’ll join Retell AI as a versatile, high-impact leader, shaping our AI voice platform in its earliest stages. Leveraging your startup experience, you’ll wear multiple hats—spanning product, engineering, and strategy—to drive innovation and execution. You’ll collaborate closely with the founding team to tackle ambiguous challenges, build scalable solutions, and define the future of voice automation. This role offers unparalleled ownership and the chance to shape a category-leading product from the ground up.Key ResponsibilitiesDrive 0→1 initiatives, from ideation to execution, across product, engineering, or growth, adapting to the company’s most pressing needs.Build and iterate on core platform features, such as voice agent APIs, integrations, or developer tools, using languages like Python, JavaScript, or TypeScript.Collaborate with co-founders to define product strategy, prioritize roadmaps, and align on technical and business goals.Tackle ambiguous problems, prototyping solutions and shipping production-ready systems under tight timelines.Mentor early team members, fostering a culture of ownership, speed, and craft.Translate customer and market feedback into actionable product improvements and strategic recommendations.GTM / PLG PathHave founded or co-founded a product-led startup, owning the go-to-market strategy from 0→1.Bring 2+ years in PLG, growth, or GTM roles (e.g., product marketing, growth ops, customer success, sales-led + PLG hybrid).Thrive in fast-paced, ambiguous environments, juggling experiments in acquisition, activation, retention, and expansion.Take ownership like a founder—designing growth loops, running campaigns, and iterating on onboarding experiences to move key metrics.Communicate clearly, aligning teams around GTM insights and making tough strategic calls with confidence.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: $215k – $290kEquity: 0.2% – 0.6%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.Other Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bills coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessConversations With Co-Founders: You'll go through several focused conversations with Retell's co-founders. We go deep on product thinking, technical ability, and cultural alignment. We move quickly, keep things respectful and transparent, and treat every candidate like a potential future teammate.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, leveraging your founder experience to build a category-defining platform.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates that can be leveraged across the teamRecruit, hire, onboard, and coach a team of Forward Deployed Engineers, evolving our services delivery playbook and resourcing modelOwn customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive teamPartner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunitiesDrive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementationsExperience4+ years experience in Solutions Engineering, Technical Account Management, Product, or similar technical leadership role at a high-growth B2B SaaS startup; we 💚 former (or future aspiring) foundersDeep experience with LLMs and AI techniques, including prompt engineering and production deployments, plus expert-level workflow automation (Zapier, etc.)Strong analytical skills with experience using data to inform decisions and excellent project management skills using tools like Linear, Airtable, and AsanaSuperb written and verbal communication skills with proven ability to influence cross-functional stakeholders and executive customersOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps for strategic enterprise customers while establishing scalable best practices and templates that can be leveraged across the teamRecruit, hire, onboard, and coach a team of AI Solutions Architects, evolving our services delivery playbook and resourcing modelOwn customer success metrics and expansion revenue targets across your team's accounts; analyze trends and report insights to the Executive teamPartner with Growth, Marketing, Sales, and Product teams to influence roadmap and build strategic workflows aligned to customer needs and market opportunitiesDrive executive relationships with key accounts through QBRs, architectural reviews, and strategic planning on complex implementationsExperience4+ years experience in Solutions Engineering, Technical Account Management, Product, or similar technical leadership role at a high-growth B2B SaaS startup; we 💚 former (or future aspiring) foundersDeep experience with LLMs and AI techniques, including prompt engineering and production deployments, plus expert-level workflow automation (Zapier, etc.)Strong analytical skills with experience using data to inform decisions and excellent project management skills using tools like Linear, Airtable, and AsanaSuperb written and verbal communication skills with proven ability to influence cross-functional stakeholders and executive customersOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences. You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.ResponsibilitiesDesign, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled featuresWork directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedbackCollaborate with product, design, and data teams to take features from idea to production at startup speedNavigate ambiguity to define what to build when the path forward isn't clearStay on top of research and identify opportunities to ship magic to usersKeep systems fast and reliable under real-world usage Required Qualifications3+ years building products that people love, with demonstrated experience taking ideas from zero to oneTrack record of shipping quickly while maintaining quality - you know when to move fast and when to be thoroughThrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisionsStrong sense of product taste paired with deep customer empathyOutstanding communication skillsPreferred QualificationsExcited about all things AIExperience working with PythonStrong ML/LLM knowledgeExperience with evalsHistory of direct customer engagement and interactionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results.This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement.Key ResponsibilitiesTechnical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content.Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions.Qualifications5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems requiredDeep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systemsProven ability to take models from research to production, including optimization for latency and cost at scaleExperience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systemsTrack record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authorityExcellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomesOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs Lead Data Engineer, you will own and scale the data platform that powers AirOps insights on AI search visibility and content performance. You will set technical direction, write production code, and build a small, high-output team that turns raw web, content, and AI agent data into trustworthy datasets. Your work will drive customer-facing analytics and product features while giving our content and growth teams a clear path from strategy to execution. You value extreme ownership, sweat the details on data quality, and love partnering across functions to ship fast without losing rigor.Key ResponsibilitiesData platform ownership: design, build, and operate batch and streaming pipelines that ingest data from crawlers, partner APIs, product analytics, and CRM.Core modeling: define and maintain company-wide models for content entities, search queries, rankings, AI agent answers, engagement, and revenue attribution.Orchestration and CI: implement workflow management with Airflow or Prefect, dbt-based transformations, version control, and automated testing.Data quality and observability: set SLAs, add tests and data contracts, monitor lineage and freshness, and lead root cause analysis.Warehouse and storage: run Snowflake or BigQuery and Postgres with strong performance, cost management, and partitioning strategies.Semantic layer and metrics: deliver clear, documented metrics datasets that power dashboards, experiments, and product activation.Product and customer impact: partner with Product and Customer teams to define tracking plans and measure content impact across on-site and off-site channels.Tooling and vendors: evaluate, select, and integrate the right tools for ingestion, enrichment, observability, and reverse ETL.Team leadership: hire, mentor, and level up data and analytics engineers; establish code standards, review practices, and runbooks.Qualifications5+ years in data engineering with 2+ years leading projectsExpert SQL and Python with deep experience building production pipelines at scaleHands-on with dbt and a workflow manager such as Airflow or PrefectStrong background in dimensional and event-driven modeling and a company-wide metrics layerExperience with Snowflake or BigQuery, plus Postgres for transactional use casesTrack record building data products for analytics and customer reportingCloud experience on AWS or GCP and infrastructure as code such as TerraformDomain experience in SEO, content analytics, or growth experimentation is a plusClear communicator with a bias for action, curiosity, and a high bar for qualityOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps that we can use both internally and to productize for customers in different verticalsEvolve our services delivery playbook and resourcing, moving between execution and strategyUse AirOps platform to improve our internal and customer facing processes and prove out new use casesPartner with our Growth, Marketing, Sales, and Product teams to build new templates and workflows aligned to product launches and customer expansion opportunitiesWork cross functionally with engineering, design, CX, growth, and content team members to bring features to market quickly & iterate based on feedbackMonitor key metrics closely; analyze trends/patterns & recommend solutions to improve business outcomes; report findings/recommendations regularly to Exec teamPartner with design team on UX research initiatives aimed at improving customer engagement & conversions throughout the customer journeyTest the product and provide feedback to improve the customer experience and usabilityExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup; we 💚 former (or future aspiring) foundersComfortable moving fast in a startup where roles and responsibilities are fluidTrack record of running complex, multi-threaded projects in a hybrid environmentExperience with LLMs and AI techniques, including prompt engineering and retrievalExperience automating processes with workflow automation tools like ZapierStrong analytical skills with experience using data to inform decision makingExcellent project management skills, including proficiency in project management tools like Linear, Airtable, and AsanaStrong interest in the intersection between AI and growth, and the emergent capabilities and applications of LLMsFamiliarity with Python and JavaScript preferredSuperb written and verbal communication skills.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs a Senior Product Manager, you will lead the strategy, roadmap, and execution for the Agents products that translates AirOps insights into measurable outcomes for content teams. Your domain is the agent layer that researches, plans, drafts, optimizes, and refreshes content to drive visibility in AI-driven search experiences. You will partner with engineering, design, data science, and customer teams to ship high-trust, high-ROI functionality that moves customers from insight to publish.Key ResponsibilitiesSet the product vision and roadmap for AirOps Agents, from opportunity identification to brief generation, on-page and off-site optimization, and refresh at scale.Build agent orchestration that uses tools, actions, and retrieval to research topics, analyze gaps, draft content, optimize for AI search, and capture feedback into continuous improvement loops.Define and implement evaluation frameworks, including offline evals, red teaming, and human-in-the-loop review, to improve factual accuracy, tone, and compliance.Partner with customers, AEO/SEO leaders, and content strategists to prioritize use cases that move the needle on visibility across ChatGPT, AI Overviews, Copilot, Perplexity, and similar surfaces.Prototype rapidly, ship iteratively, and retire features that do not meet quality or impact bars.Qualifications5+ years in product management or adjacent product-building roles, including 2+ years working with AI, automation, or data-intensive products.Strong product instincts with a track record of shipping delightful user experiences that deliver measurable business outcomes.Fluency with core LLM concepts such as prompting, function calling, retrieval, embeddings, fine-tuning, and model evaluation.Experience designing agent workflows that combine LLMs with tools, structured data, and human review.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Plus: Domain familiarity with SEO and content operations, including briefs, outlines, on-page optimization, and content refresh strategies.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAs a Growth Engineer at AirOps, you'll focus on building product-led experiences designed to attract, engage, and convert prospective customers. You'll develop extensions of the AirOps product that drive organic interest and foster deeper user engagement with our platform. Your work will directly influence how potential customers discover AirOps and interact with our offerings, partnering closely with leadership to drive business growth through innovative, scalable systems and technology.Key ResponsibilitiesDesign and implement product features and interactive experiences that expose new audiences to AirOps and showcase value.Collaborate with the product and engineering teams to ideate and ship extensions and integrations that engage prospects.Use data and feedback to iterate on product-led growth initiatives, optimizing for user activation and conversion.Build and leverage internal tools and automation to scale outreach and measure the impact of growth experiments.Partner with stakeholders across teams to align growth engineering efforts with company objectives.Qualifications2+ years of experience in software engineering, growth, product, or startup environments.Demonstrated ability to take ideas from concept through execution within a product-focused context.Comfort with growth tooling and product analytics platforms.Ability to thrive in a fast-paced startup setting with a high degree of autonomy.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAirOps is hiring a Growth Product Manager to own the product-led engine that brings content teams from first touch to early habit. You will map, measure, and improve the journey from discovery to activation to early retention, with a focus on delivering fast time-to-value and clear business outcomes in AI-driven search. This role sits at the intersection of product, data, marketing, and sales. You will define the growth strategy, build the experimentation program, and ship features that create repeatable loops across our insights, content operations, and publishing workflows.Key ResponsibilitiesOwn the acquisition, onboarding, and activation funnel for AirOps, targeting content leaders and teams across mid-market and enterprise.Build and execute a product-led growth roadmap that balances quick wins with scalable bets tied to revenue impact.Design and run experiments across signup, packaging, onboarding flows, templates, prompts, in-product education, and lifecycle messaging.Create new growth loops such as shareable audit reports, scorecards, and template galleries that attract qualified teams and encourage word of mouth.Work closely with Growth and Marketing on self-serve acquisition programs, content diagnostics, and AEO/SEO-friendly experiences that attract high-intent users.Collaborate with Engineering and Design to scope, deliver, and iterate quickly, maintaining a high bar for usability and reliability.Align with Sales and Customer Success on trial-to-paid motions, PQL definitions, routing, and in-product moments that support sales-assisted conversions.Qualifications5+ years in Product Management with 2+ years focused on growth or PLG in B2B SaaS.Track record improving activation and early retention for complex products, ideally used by content, SEO, or editorial teams.Proficiency in A/B testing and feature flagging tools such as Optimizely, Posthog, or Statsig.Strong analytics skills, including comfort with SQL and product analytics platforms like Amplitude, Posthog, or Metabase.Experience building onboarding systems, in-product guidance, and lifecycle programs that shorten time-to-value.Familiarity with content operations, SEO, and AI search dynamics, including how teams identify content gaps and measure off-site and on-site impact.Clear, concise communication and the ability to influence cross-functional partners and leadership with data and narrative.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Bias for action and comfort operating in a fast-moving environment where priorities evolve with new insights.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Lead Product Designer who's excited about shaping the future of AI Search. In this role, you'll build products that help brands succeed as AI agents become the main way people discover them. You'll own large portions of our platform experience - from search visibility tools to last-mile editing experiences - that are fundamentally changing how marketing teams drive revenue in the AI era.You thrive on moving fast while tackling complex information architecture challenges. You'll prototype rapidly using tools like Cursor and Figma Make, working directly with content and marketing teams to build intuitive and delightful experiences.Key ResponsibilitiesOwn end-to-end product design for core platform features, from initial concept through launch and iteration based on user feedbackPartner with product and engineering leads to translate AI search visibility challenges into elegant design solutions that content teams actually want to useDesign intuitive workflows for complex tasks like content gap analysis, AI agent optimization, and multi-channel content publishingCreate information hierarchies and data visualizations that make sense of large datasets without overwhelming usersBuild and maintain our design system while establishing patterns that scale across different user personas and use casesConduct user research with content teams, SEO professionals, and marketing leaders to understand their workflows and pain pointsPrototype rapidly to test assumptions and validate design decisions with real users before engineering investmentCollaborate with customer success to understand how teams actually use our platform and where they get stuckHelp define product strategy by identifying opportunities where better design can directly impact customer outcomesMentor junior designers and contribute to building a design culture focused on measurable business impactQualifications6+ years of product design experience with at least 3 years working on B2B SaaS platformsPortfolio demonstrating your ability to simplify complex workflows and data-heavy interfacesExperience designing for technical audiences while maintaining accessibility for non-technical usersStrong understanding of content management systems, SEO tools, or marketing technology platformsFluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and GitTrack record of shipping products that directly impact business metrics and user adoptionAbility to work autonomously while actively seeking feedback and collaborationExcellent written and verbal communication skills with the ability to articulate design decisions to stakeholdersComfort with ambiguity and the ability to define structure where none existsGenuine interest in how AI is changing search, content discovery, and digital marketingOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!