Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA
Workplace: Remote
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE HEALTHCARE TEAM
- Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system.
- Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms.
- Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone.
WHAT YOU'LL DO
- Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close.
- Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders.
- Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts.
- Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem.
- Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal.
- Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked.
- Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow.
WHAT YOU'LL BRING
- 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts.
- Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals.
- Proven ability to multi-thread and build trusted relationships across customer C-suites.
- Exceptional verbal and written communication.
- Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions.
EVEN BETTER...
- Familiarity with the AI landscape, key players, and emerging trends.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
УдалённоUS - Remote; San Francisco, CA; New York, NY; Atlanta, GA
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform.
This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D.
WHAT YOU’LL DO:
- Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill.
- Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM.
- Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution.
- Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release.
- Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates.
- Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations.
WE’RE LOOKING FOR:
- Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows.
- Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation.
- Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware.
- Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective.
- A design-for-serviceability mindset — you think about the technician in the field, not just the happy path.
- Disciplined engineering practice and version control (Git).
NICE TO HAVE:
- Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field.
- Familiarity with remote-diagnostics or fleet-telemetry platforms.
- Experience authoring service documentation or work instructions consumed by non-engineers.
- Exposure to Design-for-Serviceability / DfMA on a hardware product line.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level.
This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D.
WHAT YOU’LL DO:
- Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked.
- Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute.
- Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably.
- Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM.
- Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design.
- Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations.
WE’RE LOOKING FOR:
- Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots.
- Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint.
- Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures.
- Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies.
- A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount.
- Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair.
NICE TO HAVE:
- Experience with humanoid or legged robotics electrical systems.
- Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations.
- Experience with calibration-after-repair for sensors and actuators.
- Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops.
- Experience introducing serviceability into a product moving from prototype to mass production.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute.
This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves.
WHAT YOU’LL DO:
- Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection).
- Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating.
- Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling.
- Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves.
- Prioritise cases against SLAs and keep customers informed with clear, transparent updates.
- Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature.
- Escalate through the single point of entry to Engineering when a case genuinely needs R&D.
WE’RE LOOKING FOR:
- Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators.
- Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware.
- Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work.
- Clear technical communication with customers and field teams, especially under SLA pressure.
- A methodical, case-to-the-end mindset with disciplined documentation.
- Willingness to travel occasionally for on-site interventions.
NICE TO HAVE:
- Experience with Time-of-Flight (ToF) sensors and IMUs.
- Python and Git for building small diagnostic utilities.
- Prior customer-facing field-service or technical-support experience.
- Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Staff Program Manager to own the Services Business Process Automation (BPA) function — the digital backbone of our Services organisation. BPA runs the Service Lifecycle Management (SLM) platform, the Business Intelligence and reporting layer, and the integration of our business applications with customer IT/OT ecosystems — all operating within the corporate IT governance framework.
This is a strategic, hands-on ownership role. You will define and own the BPA program and roadmap, lead cross-functional platform deployments end to end, and connect corporate digitalization strategy to on-the-ground Services execution. You will work closely with Services leadership, product and corporate IT, and external technology partners.
WHAT YOU’LL DO:
- Define, own, and continuously evolve the BPA roadmap: SLM platform strategy, BI architecture, process-automation priorities, and customer IT/OT integration.
- Translate corporate digitalization objectives and Services business priorities into a structured, time-phased program with clear milestones and resource plans.
- Lead cross-functional software deployments and platform integrations from requirement scouting to hypercare, applying Agile (Scrum/Kanban) and structured PMO practices.
- Own the program-governance framework — risks, dependencies, change control, escalation, and steering-committee reporting — and track schedule, budget, adoption, data quality, and SLA impact.
- Champion the Services Lean First KPI framework and ensure BI reporting reflects real operational progress across the whole Services organisation.
- Manage vendor relationships, program budgets, and build-vs-buy-vs-integrate decisions for new BPA tools and platforms.
- Act as the strategic interface between Services leadership, product leadership, and corporate IT — simplifying complex technical realities into clear business narratives for executives.
WE’RE LOOKING FOR:
- 8–12+ years in digital/IT program management, with a track record of leading large-scale CRM, SLM, or ERP deployments.
- Proven success managing complex cross-functional programs in mechatronics, industrial automation, robotics, field service, or advanced manufacturing.
- PMP, PRINCE2, or equivalent program-management certification; Agile (SAFe, Scrum Master, or Kanban) is a strong plus.
- Solid understanding of CRM and SLM platforms, BI architectures, and enterprise integration patterns.
- Experience holding full budget accountability for digitalization programs.
- Elite stakeholder communication — able to build consensus across diverse functional and executive stakeholders.
NICE TO HAVE:
- Exposure to humanoid robotics, cobots, or other advanced-technology industries.
- Familiarity with service benchmarks in relevant industries.
- Experience introducing BI as a shared intelligence layer across a multi-team organisation.
- PMO tooling proficiency (MS Project, Jira, Smartsheet, or equivalent).
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 the role
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.
Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Responsibilities:
Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints
Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting
Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases
Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number
Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners
Minimum Qualifications:
Proficiency in Python, SQL, and data analysis tools
Experience building or operating fraud, risk, or abuse detection systems in production
Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders
Preferred Qualifications:
8+ years of industry software engineering experience, with a focus on payments fraud or risk
Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team
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:
$320,000
—
$485,000 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 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.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, our Solutions Consulting team bridges technical expertise with business context to help customers realize what’s possible with our platform. As a Solutions Consultant supporting Payload accounts, you’ll partner with Sales and cross-functional teams to craft and deliver consultative strategies that showcase Payload’s value within Figma. You’ll lead technical discussions, demos, and solution design to help customers achieve their goals and transform how they build products, playing a key role in driving revenue and growth as Figma continues to innovate.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Paint the vision of Payload within the Figma Platform and guide customers in realizing the value through product demonstrations and presentations
Support the Sales team by addressing Payload and Figma platform questions and showcasing how Payload accelerates digital product development to customers
Own the customer IT and Security relationship during the deal cycle by addressing security questionnaires and enterprise requirements, in order to help customers adopt the platform securely and at scale
Collaborate with Product and Support to identify opportunities for enhancing account security through new product features and help influence the product roadmap
Design and scale technical sales efforts, facilitating conversations and connections between our customers, sales and product teams
Deliver timely technical support to customers and agency partners building on Payload, ensuring smooth adoption and issue resolution
Collaborate with amazing Figmates to hone your craft and execute daily. We are looking for fantastic life-long learners who can operate with autonomy
We'd love to hear from you if you have:
4+ years in Sales Engineering or Solutions Consulting within a SaaS environment
Strong ability to position technology in a pre-sales capacity by defining success criteria, leading product evaluations, and guiding customers through technical decision-making
Excellent communication and presentation skills, with the ability to tailor product demonstrations and technical discussions for both technical and business audiences
Solid understanding of the enterprise SaaS ecosystem, frontend development, and modern developer workflows and lifecycles
Proven ability to quickly learn new technologies while effectively managing competing customer priorities and balancing business objectives
While not required, it’s an added plus if you also have:
Experience using or working with Payload, or other CMS/DXP experience
You embody our values and can thrive in a constantly evolving and growing environment
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
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.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$152,800
—
$296,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions.
This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians.
WHAT YOU’LL DO:
- Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots.
- Deliver approved upgrades to existing robots and parts.
- Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…).
- Act as a flying doctor at customer sites for the most difficult on-site interventions.
- Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions.
- Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles.
- Own refurbishment throughput and quality for the most complex part families, and certify work to specification.
WE’RE LOOKING FOR:
- Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation.
- Proven ability to overhaul and restore complex electromechanical systems and full robots to specification.
- Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence.
- Ability to author work instructions and mentor other technicians.
- Rigorous quality, certification, 5S and health-and-safety discipline.
- Willingness to travel for on-site interventions.
NICE TO HAVE:
- Experience with humanoid, legged, or advanced robotics hardware.
- Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics.
- Exposure to failure-analysis methods and supplier-quality / warranty processes.
- Experience setting up or scaling a repair or refurbishment operation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
With over 180,000 business customers, Enterprise Password Manager is 1Password's core product. It is rapidly evolving into a complete credentials security platform for humans, machines, and AI agents.
This is a Senior Staff PMM role. Individual contributor with broad organizational visibility. You’ll report to the Director of Product Marketing and own EPM end-to-end: messaging, positioning, competitive strategy, and launch execution.
You will shape how the market understands credentials security as 1Password grows.
How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
Experience and Domain Expertise
- 7+ years of B2B SaaS product marketing, with direct experience in password management, enterprise vaulting, credentials security, or identity security.
- Working knowledge of broad cybersecurity concepts.
- You've repositioned a mature enterprise product. You know the difference between a messaging refresh and actually shifting how the market thinks about something.
- You can market to enterprise IT and security buyers: the admin managing rollout, the CISO approving the spend, and the security engineer evaluating the technical depth.
- A track record of winning in competitive markets by displacing incumbents, not just differentiating in an open field.
Technical Depth
- You understand how credentials work beyond passwords: API keys, certificates, machine secrets, passkeys, and what it takes to issue credentials to AI agents.
- Working knowledge of enterprise IT: MDM, SSO, directory services, and where password management fits in the IAM stack.
AI-Forward, Not AI-Dependent
- You use AI to go faster, not to think less. You know what to hand off and what to own, and you can tell good output from output that still needs work.
- You want AI to free up time for the work only a good product marketer can do: strategy, judgment, and narrative.
- You own the ideas you bring. Walk into a room with a recommendation and you can defend it. Candidates who produce content but can’t explain the thinking behind it won’t fit here.
Strategic Storytelling and Senior-Level Communication
- You write for multiple audiences without diluting the message. An IT admin and a CISO aren't reading the same document for the same reason. You know how to serve both.
- Strong narrative instincts: open with the problem, build to the solution, and land in a way that makes the reader feel the product was built for their situation.
- You’ve shaped category narratives, not just contributed to them.
Bonus points for:
- Security certifications (CISSP, Security+, or similar).
- Experience developing thought leadership in a fast-moving category. 1Password has a team that produces content. This role provides the point of view.
- You've repositioned an established product category. There's a real difference between entering a space and redefining it.
What you can expect:
Own EPM Product Marketing
- Own messaging, positioning, and launch strategy for the Enterprise Password Manager.
- Define how 1Password talks about credentials security for employees, service accounts, and AI agents.
- Tell the story clearly to analysts, IT buyers, security leaders, and sellers. The narrative has to work for practitioners and executives.
- Connect EPM’s story to the Unified Access platform narrative.
Build Competitive Intelligence and Category Positioning
- Own positioning and market leadership claims for EPM.
- Partner with Solutions Marketing on competitive differentiation. Know the competitive set cold: where they’re strong, where they’re not, and how to win against each.
- Track where the credentials security market is moving and keep 1Password’s messaging ahead of it.
Enable the Field with Tools That Actually Get Used
- Produce discovery decks, battlecards, objection-handling guides, and technical briefs that sellers and SEs reach for because they work.
- Take complex concepts like passkeys, machine credential lifecycle, AI agent authentication, and zero-knowledge architecture and make them usable in a customer conversation.
- Surface win/loss signals from the field and turn them into repeatable GTM motions, not one-off documents.
Influence EPM Product Strategy
- Bring the market's perspective to Product: customer evidence, analyst intelligence, competitive signals, field feedback.
- Make the market case early, before decisions are locked.
Why join us:
- The credentials security market is being reshaped by machine identities and AI agents. You'll own how 1Password tells that story.
- You'll work across product strategy, competitive positioning, and field execution. The work is visible at the executive level.
- 1Password is remote-first and has been since day one. We hire for judgment, not proximity.
- The company is growing and there's room to shape how PMM works here, not just execute what's already been defined.
USA-based roles only: The annual base salary for this role is between $180,000 USD and $261,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $152,000 CAD and $220,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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 the role
Anthropic's Application Security team secures the systems that build, serve, and increasingly
are
Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function.
You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.
This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.
We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.
Key responsibilities
Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process
Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap
Minimum qualifications
Hands-on application and infrastructure security experience, including cloud and containerized environments
Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript
Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems
Comfort operating with high autonomy, ambiguity, and tightly-held confidential context
Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company
Preferred qualifications
7+ years in application security, security consulting, or security architecture
Prior M&A security due diligence, third-party security assessment, or technical due diligence experience
Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
Track record of building security automation or tooling rather than relying solely on manual review
Familiarity with using LLMs as a core part of your security workflow
Experience securing agentic, code-execution, or LLM-integrated systems
Representative projects
Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist
Write the security risk memo for a live deal and present it to corporate development and security leadership
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:
$320,000
—
$485,000 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 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.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We're looking for a Staff Product Manager, AI to own the agents and the platform they run on inside Source, a new product where modern marketing teams and their AI agents build, optimize, and scale digital experiences together. Source connects a company's codebase and marketing stack into one governed workspace.
Your area spans the experience of working alongside those agents, the platform underneath (the framework, sessions, memory, and evals), how agents reach Source from outside it through MCP and the CLI, and the durable context every agent works from.
That means serving two groups at once. The developers who connect and extend the system, and the marketing teams doing the ongoing work of building brand and driving growth inside it. Both now work alongside agents, and neither will hand over real responsibility to something they can't trust. Much of what "good" looks like here hasn't been written yet, and you'll define it.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
- United States (all figures cited below are in USD and pertain to workers in the United States)
- Zone A: $212,500 - $255,000
- Zone B: $200,00 - $240,000
- Zone C: $186,700 - $224,000
- Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada
- 232,000 - 278,000
This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director of Product
As a Staff Product Manager, AI, you'll…
- Own the vision, strategy, and roadmap for the agent platform underneath Source: the agent framework and service, agent sessions, shared context and memory, the core orchestrator, and the experience of steering agents while they work. You'll set the direction and drive it through to delivery with Engineering, Design, and Data.
- Ensure agents are capable, and safe to hand real responsibility to. Agents should disclose what they can do and where they came from, run with limited permissions, and land their work as a reviewable change rather than a silent merge. You'll define how autonomy expands as trust builds, along with the audit trail and cost visibility that make it defensible.
- Set the standard for what "good" means when products never behave the same way twice. Define the quality bar for agent experiences, and the eval infrastructure, harnesses, guardrails, and metrics that hold the whole area to it.
- Build the primitives once that every Source workstream ships on. Teams across Webflow are building specialized agents on your platform, from site building and content to optimization and marketing. Sequence the work so the pieces reinforce each other rather than solving the same problem three times.
- Make Source reachable from wherever the work happens. Own the MCP and CLI interfaces so outside agents and scripts get the same capabilities as embedded agents, under the same disclosure and permission model.
- Centralize the context agents build from. Agent Instructions give a project durable, governed steering, so every agent works from the same brand, structure, and business context instead of rediscovering it session by session. You'll decide how that concept evolves inside Source.
- Drive alignment across Webflow, not just your own teams. Represent the agent area to leadership and to the other Source workstreams, partner closely with the team building deterministic and long-running agent workflows, and navigate cross-functional disagreement independently and constructively.
- Roll up your sleeves and build. Product Managers at Webflow deliver value any way they can, up to and including contributing to the product directly in code. You'll prototype ideas, ship improvements yourself where it helps, and stay close enough to the implementation to make sharp product calls.
- Place durable, multi-quarter bets as the AI landscape shifts. Models, protocols, and techniques are evolving fast; you'll stay close to customers, tell real standards from fads, and keep raising the bar on how fast and how well we ship.
ABOUT YOU:
Requirements:
- BS / BA college degree or relevant experience
You'll thrive as a Staff Product Manager, AI, if you:
- Have 8+ years of product management experience, with deep expertise in AI-powered systems and a track record of owning strategy for large, ambiguous product areas. Experience with platforms, APIs, and extensibility.
- Know where LLM-based tools shine and where they break down, from substantial hands-on work with agent systems, code generation, or programmable interfaces.
- Have set the bar for "good" on non-deterministic products, defining the evals, guardrails, and success metrics that keep quality high when outputs vary from run to run, and getting a team to hold to them.
- Have built platforms other product teams ship on. You've treated other teams as your customers, drawn the line between what to build once and what to leave to them, and can point to primitives that outlived the first thing built on top of them.
- Can serve two audiences at once. You've built developer-grade tools and approachable products for marketers, and hold both in view without shortchanging either.
- Enjoy the full craft of building software. You're curious about every part of how products get made and like getting into the details wherever the work needs you, whether that's opening a pull request, leading a user interview, prototyping an idea, writing a query to pin down a metric, or writing a sharp brief.
- Lead through influence rather than authority. You set strategy and bring Engineering, Design, GTM, and leadership along, holding your own with senior stakeholders and moving decisions forward without waiting to be told. You set patterns other teams adopt and mentor as the practice grows.
- Stay curious. building fluency in emerging AI to speed up both your own work and your team's.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.
As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey.
RESPONSIBILITIES:
- Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools
- Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features
- Consistently deliver high-quality code, adhering to best practices in software design and development
- Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features
QUALIFICATIONS:
- 2-4 years of backend software development experience, ideally in languages like Java
- Familiarity with asynchronous processing systems (Kafka, SQS)
- Experience in backend development, working on large-scale software systems and RESTful API design
- Experience in relational database design and development (PostgreSQL)
- Experience with scalable system design and performance optimization
- Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication skills and a commitment to delivering high-quality work
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
RESPONSIBILITIES:
- Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
- Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
- Develop scalable, distributed training pipelines for large models on high-performance compute environments.
- Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
- Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
- Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
- Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
QUALIFICATIONS:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
- 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
- Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with training models on mulit-node, multi-gpu distributed compute environments.
- Familiarity with best practices for data, model, and context parallelisms.
- Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
- Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
- Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
- Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
- Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Americas Remote
Hi, I'm Manu, Engineering Manager at
Customer.io
. We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide.
You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at
Customer.io
depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving.
If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk.
What you'll bring:
Deep experience with distributed systems and large-scale backend architecture
Strong instincts around reliability, observability, and fault tolerance
Comfort reasoning about performance, capacity, and trade-offs at scale
Experience with event-driven systems, message queues, or data pipelines is a plus
A collaborative mindset — you raise the team around you
About
Customer.io
Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line.
Engineers with customer focus
You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience.
A healthy disregard for “the way things are done”
You bring rigor and creativity. Best practices matter, but never more than forward motion.
What You’ll Do
Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data
Lead architectural decisions around performance, reliability, and real-time event processing
Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns
Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience
Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure
Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
Leverage AI tools to prototype, move faster, and make better decisions
What we're looking for
Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages)
Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast
Comfort working in cloud-native environments (AWS, GCP)
Familiarity with APIs, observability, and operating production systems
A bias for action over perfection, and pride in owning technical decisions
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application - We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work.
Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise.
System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges.
Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.
Location: Americas Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Nick Guardino, Senior Director of Marketing Ops at
Customer.io
, and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.
Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.
What we value
Craft over quick wins
— energized by making things robust, not just making them work.
A point of view
— we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead.
Comfortable being wrong
— you try things fast, and you course-correct just as fast.
AI-native by default
— you'd rather direct Claude to write and QA code than write it by hand.
What you'll do
Alpha-to-production ownership
— take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
Observability & stability
— instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
Deployment & infrastructure
— stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hygiene on our GCP stack.
Database administration
— own how agents read from and write to our databases, safely and at scale.
Fleet maintenance
— monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
Partner closely with the GTM AI team
— free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
Bring an outside point of view
— tell us what we built wrong, and back it up with a plan to fix it.
What we're looking for
4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
Experience with how agents interact with and edit databases, including some hands-on database administration.
Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
A point of view, and the willingness to ask "why did you build it that way?"
Compensation & Benefits
We believe in transparency. Starting salary for this role is
$140,000–$170,000 USD
(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute Zoom call with Recruiter
45-minute Zoom call with Hiring Manager
45-minute Zoom call with a member of the GTM AI team
60-minute Live technical session with the team
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Senior Technical Account Manager (TAM) to own the post-sales technical relationship for a portfolio of our largest enterprise customers, taking it over from the Solutions Architect (SA) at deal close. Your focus is continuity: customers renew the annual TAM engagement because their technical outcomes improve each year. This role requires travel to customer offices 4 to 8 times a year.
What you'll do
Own the post-sales technical relationship and the annual TAM renewal for a portfolio of enterprise accounts, running a weekly check-in, monthly review, quarterly business review (QBR), and annual roadmap workshop for each
Lead incident follow-through when an escalation or a pattern of incidents emerges: run the post-mortem, find the architectural root cause, own the remediation roadmap, and respond to priority 1 and 2 escalations within 4 business hours
Deliver proactive architectural reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments
Scope hands-on engineering work for Forward Deployed Engineers (FDEs) and audits for Professional Services, and track their outcomes into the customer's technical roadmap, without shipping production code yourself
Relay customer technical needs to Product, Engineering, and Support, and hold those teams to the commitments you have made to your customers
What you need
5+ years in customer-facing technical roles at a platform, infrastructure, or developer tools company, such as technical account management, solutions architecture, developer success engineering, or support engineering
Owned customer relationships at the $1M+ annual contract value (ACV) tier, including QBRs, roadmap workshops, and renewals
Architected, debugged, and optimized production systems on Next.js and Vercel, including App Router, incremental static regeneration (ISR) and caching, Fluid Compute, and the AI SDK
Led technical outcomes across Engineering, Product, and Support without formal authority, and written the incident summaries, post-mortems, and executive readouts that came out of them
Bonus if you
Carried a TAM portfolio at a hyperscaler, infrastructure platform, or developer tools company, such as AWS, Cloudflare, Datadog, or GitHub
Built AI agents with the Vercel AI SDK or Model Context Protocol (MCP) servers
Led cloud financial operations (FinOps) or cost-optimization engagements, or ran an annual roadmap workshop or Well-Architected Review for an enterprise customer
The San Francisco, CA base pay range for this role is $163,000-$204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.
WHAT YOU'LL DO
Infrastructure & Automation
- Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth
- Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools
- Implement monitoring and documentation practices that enable operational excellence
Client Platform Engineering
- Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however.
- Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems
- Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale
- Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing
Security & Identity Management
- Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege
- Identify and implement security enhancements across our SaaS stack
- Partner with our Security team to drive improvement of our enterprise security posture
SaaS Administration
- Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management
- Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface
- Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work
- Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product.
Core IT Operations
- Provide support to employees globally across hardware, software, networking, and IT tools
- Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one
WHAT YOU'LL BRING
- 5+ years of experience in IT engineering and systems administration
- Deep proficiency with Okta and Okta Workflows
- Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation
- Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems
- Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations
- Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase
- Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster
- Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT
- Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs
- Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products
- Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)
- Annual salary range: $150,000-$170,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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ОфисseniorUK, London
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