Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with GMT-3 for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
As our Compliance Manager, you will own and drive Sourcegraph’s governance, risk, and compliance program, with a primary focus on compliance. This is a highly cross-functional role that works closely with Security, Engineering, IT, Legal, People, Sales, and other teams across the company.
You will be responsible for maintaining and evolving our compliance program, including owning certifications such as SOC 2 and ISO 27001 and preparing Sourcegraph for additional frameworks as the business grows. This is not a role where you will simply coordinate work across a large compliance organization. We are looking for someone who has personally owned audit and certification programs end to end: designing and tailoring controls, collecting evidence, training internal teams, working directly with auditors, managing remediation, and driving follow-up work through completion.
📅 Within one month, you will…
You will build strong working relationships across Security, Engineering, IT, Legal, People, Sales, and other key stakeholders.
You will develop a clear understanding of Sourcegraph’s existing governance, risk, and compliance program, including our ISMS, risk register, controls, certifications, audit processes, and current areas of focus.
You will understand how our SOC 2 and ISO 27001 programs operate today, including key owners, evidence requirements, open risks, and upcoming milestones.
You will begin participating directly in day-to-day compliance activities and identify opportunities to improve or simplify existing processes.
📅 Within three months, you will…
You will have taken ownership of Sourcegraph’s ongoing SOC 2 and ISO 27001 compliance programs.
You will independently manage key audit activities, including control testing, evidence collection, stakeholder coordination, auditor requests, findings, and remediation.
You will evaluate existing controls and tailor them to Sourcegraph’s environment rather than relying on overly prescriptive or generic auditor recommendations.
You will actively maintain Sourcegraph’s risk register, ISMS processes, policies, and compliance documentation.
You will help internal teams understand their compliance responsibilities and provide practical guidance that allows them to meet requirements without creating unnecessary process.
You will support customer-facing compliance activities, including security questionnaires and compliance-related questions from prospective and existing customers.
📅 Within six months, you will…
You will have successfully led Sourcegraph through an audit or major certification milestone.
You will own the operating rhythm of the GRC program, including ISMS meetings, risk management activities, control reviews, documentation updates, and audit preparation.
You will have established a forward-looking compliance roadmap covering renewals, upcoming audits, new frameworks, regulatory requirements, and opportunities to improve how the program operates.
You will be able to independently identify control gaps or deficiencies, assess their risk, recommend practical solutions, and drive remediation with both technical and non-technical stakeholders.
You will have introduced automation, AI, or other process improvements that reduce manual compliance work while maintaining or improving program quality.
About you
You have built or operated compliance programs in a fast-moving technology environment and have personally owned major compliance initiatives from beginning to end.
You are comfortable operating independently, getting into the details, and doing the work yourself while coordinating with stakeholders across the organization. You understand that frameworks such as SOC 2 and ISO 27001 define requirements but often leave significant flexibility in how an organization satisfies them, and you know how to translate those requirements into controls that fit the business.
You are also comfortable working with technical teams and modern cloud environments. You can understand enough about infrastructure, systems, access controls, software development, and security processes to ask the right questions and effectively translate between auditors and technical teams.
5+ years of experience in governance, risk, compliance, information security compliance, or a related role.
Demonstrated end-to-end ownership of SOC 2 and ISO 27001 programs, ideally within a SaaS, technology startup, or similarly fast-moving environment.
Experience personally managing external audits and certification processes, including audit preparation, evidence collection, control testing, stakeholder training, auditor interaction, remediation, and follow-up.
Strong understanding of risk management, control design, ISMS governance, and compliance program operations.
Experience adapting compliance controls to an organization's actual environment rather than applying generic or overly prescriptive requirements.
Familiarity with cloud-based technology environments and the security and compliance considerations associated with a distributed or remote workforce.
Strong project management and organizational skills with the ability to drive cross-functional initiatives from inception through completion.
Excellent written and verbal communication skills and the ability to explain compliance requirements clearly to both technical and non-technical audiences.
A hands-on mindset and willingness to personally execute the work required to keep the compliance program operating effectively.
Curiosity about AI, automation, and emerging technology, with an interest in using new tools to improve compliance workflows.
Nice-to-haves:
Experience with additional security, privacy, or compliance frameworks such as GDPR, HIPAA, HITRUST, FedRAMP, FISMA, PCI DSS, or related standards.
Experience supporting security questionnaires, customer assurance processes, or sales-related compliance activities.
Experience with GRC platforms, compliance automation tools, or building internal automation for evidence collection and control monitoring.
Relevant certifications such as CISA, CISSP, ISO 27001 Lead Implementer or Lead Auditor, CRISC, or similar credentials.
Level
📊 This job is an IC3. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
The starting salary for the IC3 pay band in each zone is:
Zone 2:
$137,718 USD
Zone 3:
$102,899 USD
In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[Async] Working assignment
[60m]
Assignment Walkthrough + Review
[60m]
Resume Deep Dive
[60m]
Technical Interview
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30m]
Values
[30m]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
УдалённоNo matter what, working hours must overlap with GMT-3 for at least 20 hours/week
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform.
Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision.
You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them.
A PEEK AT OUR TECHNICAL STACK
Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration.
We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses.
You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models.
WHAT YOU'LL DO
- Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale
- Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative
- Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform
- Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on
- Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more
- Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models
WHAT YOU'LL NEED
- 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems
- Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes
- Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility
- Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement
- Comfort building internal tools end to end, from the command line to the browser
- Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told
- Familiarity with the full model development lifecycle: data, training, evaluation, serving
- Self-starter who can work embedded with research teams and move fast
- Strong systems thinking and pragmatic approach to production reliability
- Humility and open mindedness; at Runway we love to learn from one another
NICE TO HAVE
- Track record of building evaluation suites for generative models
- Hands-on work with LLM- or VLM-as-judge pipelines
- Experience with online experimentation platforms and connecting offline metrics to product outcomes
- Prior work evaluating agents or robotics policies
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
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 TEAM
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams and customers
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Build and run tailored demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
- Strong Python, JavaScript and systems fundamentals
- Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
- Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about shipping AI agents in production
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $160,000-185,000 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.
Location: Austin, in-person
Pod Member - Product, Growth, AI & Strategy
Location:
Austin, TX - primarily in person
Reports To:
Pod Lead
What Is a Pod?
inKind operates through Pods: small, autonomous teams that own a business outcome from idea to impact.
Pods bring together Product, Engineering, Data, Design, Growth, and commercial expertise to find opportunities, build solutions, launch quickly, and measure results.
There are no traditional handoffs. The Pod owns the outcome.
Examples of problems a Pod might own include:
Increasing active users, engagement, and retention
Improving restaurant discovery and personalization
Helping restaurant partners acquire customers and grow revenue
Improving restaurant onboarding and activation
Building new AI-powered experiences
Testing new products, incentives, and growth opportunities
The Role
This is not a traditional Product Manager role.
We're looking for builders and operators who can work across Product, Engineering, Data, Growth, AI, and commercial strategy.
You'll identify opportunities, get into the data, shape solutions, work directly with engineers, launch products, and determine whether they actually worked.
You're not here to manage a backlog. You're here to solve important problems.
What We're Looking For
We want people with experience across several of these areas:
Product:
Finding problems, shaping solutions, and shipping products.
0 → 1:
Taking ideas from ambiguity to launch.
Technical:
Working deeply with Engineering and understanding technical tradeoffs.
Data:
Using data to find opportunities, make decisions, and measure impact.
Growth:
Acquisition, conversion, engagement, retention, and experimentation.
Commercial:
Understanding revenue, ROI, unit economics, and business models.
B2C + B2B:
Understanding both consumer behavior and business/partner needs.
AI:
Using AI to prototype, automate, analyze, and build faster.
You don't need to be an expert in everything. But traditional PM experience alone isn't enough.
What You'll Do
Own a Pod objective and take responsibility for moving the metrics behind it.
Turn broad business problems into clear priorities and executable plans.
Decide what matters most and keep the Pod focused on the highest-impact work.
Bring the right people together and drive decisions when there isn't an obvious answer.
Spot blockers, risks, and opportunities early—and do something about them.
Challenge assumptions and push the team toward simpler, faster solutions.
Stay close to customers and partners to understand what actually needs solving.
Measure what happens after launch and determine what to scale, change, or stop.
Step outside your functional lane when that's what the outcome requires.
Create momentum and own the result.
Why inKind?
You'll operate across Product, Engineering, Data, AI, Growth, B2C, B2B, and commercial strategy with unusually broad ownership.
We're looking for people who want to build, experiment, understand the whole business, and own measurable results.
Who we are:
inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards.
Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat.
Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community.
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.
By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our
Privacy Policy
. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.
Location: San Francisco, CA | 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
Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end.
We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support.
Responsibilities
Own the purchasing process
Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time.
Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order.
Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs.
Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time.
Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one.
Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued.
Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement.
Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle.
Financial completeness and accuracy
Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition).
Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle.
Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree.
Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time.
Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs.
Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind.
Be the front door
Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context.
Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available.
Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work.
Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise.
Continuous improvement
Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head.
Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team.
Minimum qualifications
Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform.
Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger.
Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models.
Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down.
Preferred qualifications
7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams.
Background in accounting, accounts payable, or a month-end close process.
Direct experience with Zip, Workday Financials, and Ironclad.
Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio.
Experience with software asset management or license optimization, including identifying underused or redundant tools.
Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$230,000 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 of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$165,000 to $190,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see.
Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions.
Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly.
Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples.
Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it.
Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online.
Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs.
Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high.
What You Bring To The Team:
6+ years of professional software development experience, including building and operating production backend systems
Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus
An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior
Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it
Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Experience with AWS, Azure, or other public cloud environments
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK)
Experience building evaluation pipelines or datasets for ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
#BI-REMOTE
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
You will be a front-line manager to a group of Account Executives (AEs) who will be hunting, pitching, and closing new business for Ramp. You will be responsible for 1:1 coaching, mentoring, and strategy development, working closely with leaders across Sales, Marketing, Product, and the executive team to drive positive outcomes for this segment. As a key member of the sales leadership team, you will have the opportunity to help build and refine Ramp’s sales development motion.
WHAT YOU'LL DO
- Manage, develop and execute career development and leadership plan for a group of Account Executives and provide daily 1:1 mentoring and coaching
- Set and maintain a high-performing culture and morale by overseeing the daily activities and quota performance management of individual AEs to ensure key performance metrics are met
- Hire and train new AEs on Ramp’s product, buyer personas, competition, and tools through various methods (ie. role-plays)
- Strategize with sales and marketing counterparts on pipeline and prospecting initiatives to meet company objectives
- Build dashboards and report on customer and team performance and forecast to senior leadership
- Improve team output and efficiency over time by optimizing systems and processes
- Build and execute on pipeline with new clients and partners to run the end-to-end sales process
- Establish a library of playbook resources for the AE team
- Partner with Ops to create and polish existing metrics that evaluate the individual and team’s performance
- Represent the AE team cross-functionally with leaders of other departments
WHAT YOU’LL NEED
- Minimum 5 years of quota carrying sales experience as an individual contributor
- Minimum 3 years of experience building and leading successful, high-performing sales teams
- Demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS companies, and history of consistently performing above quota in an outbound sales environment
- Passion and excitement for hiring, with a thoughtful approach to team planning and development
- Experience working cross-functionally to build successful top of the funnel activities to drive more pipeline; Strong collaboration and influencing skills demonstrated through excellent communication and presentation skills
- Ability to articulate contractual, technical, and financial value points to customers, including executive leaders
- Proficiency in using AI tools and familiarity with email and call automation platforms
- Ability to leverage data to drive decisions, create systems, and identify process improvements to improve efficiency
NICE TO HAVES
- Experience with financial services sales in a full cycle sales role
- Financial services or Fintech experience at a high-growth startup
- Bachelor’s degree from an accredited four year university
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We're hiring a Senior Technical Account Manager (TAM) who has already done this job at a SaaS company: someone who has led implementations, owned enterprise accounts and knows what it takes to drive adoption in complex organizations. You'll be a strategic partner and trusted advisor to our customers, combining strong relationship management with deep knowledge of ClickUp's platform. This role sits where customer success, solution strategy and technical enablement meet, and it drives long-term growth, adoption and measurable business outcomes.
TAMs own the full post-sales customer lifecycle. That starts with implementation and onboarding and continues through ongoing managed services, strategic expansion and renewal outcomes across your book of business. This role requires an AI-native professional who doesn't just use AI tools but designs, builds and scales AI-powered workflows and agents, and brings that hands-on expertise to customers.
TAMs lead with a customer-first mindset. You'll build success plans, guide onboarding and adoption and make sure stakeholders keep seeing value throughout their lifecycle. You'll support technical initiatives like process optimization, workflow design and AI enablement, and you'll also own the overall health, engagement and strategic direction of your accounts. You'll work cross-functionally with Sales, Product and Support so each customer's success story is long-term, scalable and impactful.
Technical Account Managers (TAMs) deliver measurable value and meaningful business outcomes across their customer portfolio by focusing on:
- Customer Enablement & Onboarding: Guiding new teams through implementation, onboarding and training for a smooth start and a strong foundation.
- Account Health & Engagement: Proactively managing user adoption, stakeholder alignment and account health to support retention and growth.
- Process Optimization & Solution Design: Working with customers to identify critical business processes, map them to scalable solutions and keep improving efficiency through ongoing refinement and performance insights.
- Innovation Adoption & Workflow Automation: Helping customers use emerging features and technologies, including AI and automation, to boost productivity, streamline operations and deliver real-world impact.
CORE RESPONSIBILITIES
TAMs are the strategic and technical owner of the customer relationship. They make sure every customer gets measurable results from ClickUp's product and AI feature set.
New Customer Onboarding
- Lead end-to-end onboarding and implementation of ClickUp, from discovery and solution design through training and go-live support.
- Translate functional and technical requirements into scalable ClickUp solutions, including workflows, templates, hierarchies and automations.
- Guide customers through foundational setup, integrations and enablement while promoting best practices, system governance and change management.
Account Health Management
- Monitor seat utilization, adoption trends and Champion/Stakeholder engagement.
- Build and run adoption plans and account reviews to maintain or improve health.
- Spot risks early and build recovery plans with the account team.
- Deliver ongoing change management and enablement so customers keep maturing on the platform.
Workflow Mapping (IER Framework)
- Run Intake → Execution → Reporting (IER) cycles for key workflows.
- Lead discovery sessions that map current-state and future-state processes.
- Recommend optimizations and create workflow templates that scale across teams.
AI Enablement & Agent Deployment
- Drive adoption of ClickUp AI and build custom workflow Agents tied to customer use cases.
- Partner with customers to define and deliver new AI automations aligned to their business KPIs.
- Provide technical training and consultation on AI and automation best practices, including prompt design, agent architecture and scaling use cases across teams.
- Track and report AI usage and credit consumption against plan.
Customer Success & Expansion
- Serve as the technical partner to assigned accounts and connect adoption to business value.
- Drive value across the full post-implementation lifecycle by providing continued and managed services as customers expand their use of ClickUp.
- Generate qualified leads through data-driven insights and AI usage analysis.
- Drive cross-functional alignment to position renewals, expansions and AI upsells.
Cross-Functional Collaboration
- Act as the voice of the customer by turning business objectives and pain points into actionable insights for Product, Engineering and Support.
- Partner with account teams to keep delivery and success aligned.
QUALIFICATIONS
Required
- 5+ years in a customer-facing SaaS role (Technical Account Manager, Customer Success Manager, Implementation Manager, Solutions Consultant, Professional Services Consultant or similar)
- 2+ years of hands-on experience with ClickUp, Asana, Monday.com http://Monday.com, Smartsheet, Wrike, Jira or a comparable work management/project management platform
- Direct experience leading enterprise SaaS implementations or onboarding programs end-to-end, and/or a proven track record managing a book of business ($2M+ ARR) with measurable retention and expansion outcomes
- Demonstrated experience building and deploying AI-powered workflows, agents or automations in a business context
- Strong project and program management skills, including complex, multi-stakeholder engagements
Preferred
- Background in professional services, implementation management or consulting at a SaaS company
- Hands-on experience with agentic tools and frameworks such as Claude, n8n, Make, Zapier or LangChain
- Technical aptitude with integrations, APIs, automation logic and data modeling
- Experience positioning or selling services alongside renewals and expansions
CORE SKILLS & COMPETENCIES
- Technical Acumen: Deep understanding of work management platform capabilities, automation logic, integrations and AI Agent functionality. Able to turn business needs into technical solutions.
- AI-Native: Demonstrated experience designing and scaling AI-powered workflows, agents and automations, not just using AI tools. Skilled at identifying and scoping AI use cases and consumption plans.
- Consultative Discovery: Excellent at workflow analysis, process design and finding friction points. Uses structured discovery to map customer needs into scalable solutions.
- Project & Program Management: Manages complex customer programs with multiple stakeholders, deadlines and outcomes. Skilled at running structured account plans.
- Data & Reporting: Comfortable using dashboards and metrics to communicate health, adoption and ROI. Reads usage data to drive recommendations.
- Customer Engagement: Executive presence and strong communication skills. Builds trust with both executive (ATL) and day-to-day (BTL) stakeholders through credibility and clarity.
- Account Ownership: Fully accountable for an assigned book of business. Proactive, organized and driven to hit measurable outcomes.
- Collaboration & Influence: Works cross-functionally with the account team, Product and Sales to align on outcomes. Influences without authority through insight and results.
WHAT SETS YOU APART
- You've worked at, implemented or sold against project management or work management platforms.
- You've run enterprise implementations and know change management firsthand.
- You think in workflows and systems, not just relationships.
- You've built something with AI that a team actually runs on, and you can walk us through how it works.
- You've carried a renewal or expansion number and know how to tie technical value to commercial outcomes.
#LI-SM1
#LI-remote
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
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!
As a member of the Operations & Strategy team within Customer Operations & Support (COS), you'll own and evolve the systems that power our support organization. This role is ideal for a well-rounded systems admin with deep Zendesk expertise and experience with Decagon, who enjoys working across many tools and can jump in wherever the team needs support. You'll help keep our support systems stable, well-designed, and adaptable, while partnering across teams to implement changes that improve both customer and Specialist experience.
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:
Own and optimize the COS Zendesk environment, including workflows, business rules, automations, routing, permissions, and overall system health
Lead improvements to ticket classification, queue design, backlog management, and skills-based routing to help Support scale
Administer Decagon and its integration with Zendesk, including handoffs, escalations, and routing of AI-escalated tickets
Serve as a hands-on admin across our broader support tooling, including Sprinklr, Gainsight, MaestroQA, Assembled, among others
Evaluate and expand agent-facing AI capabilities, including Zendesk Copilot and other agent assist opportunities
Own the lifecycle of systems changes, including requirements, design, testing, rollout, communication, and post-launch monitoring
Create and maintain documentation across systems, including playbooks, operating procedures, change logs, and architecture diagrams
We'd love to hear from you if you have:
3+ years of experience as a Zendesk administrator or Business Systems Analyst supporting a customer or product support organization
Deep hands-on experience with Zendesk workflows, routing, automations, business rules, queue architecture, and channel configuration, plus hands-on experience configuring Decagon and integrating it with Zendesk
Experience administering or supporting multiple tools across a support ecosystem, and the ability to learn new systems quickly
Experience leading systems changes independently or in partnership with Engineering, IT, Security, or Analytics
Strong communication skills, ownership, and sound judgment, with the ability to work effectively with technical and non-technical stakeholders while maintaining a high bar for quality, documentation, and execution
While it’s not required, it’s an added plus if you also have:
Zendesk Administrator certification
Experience configuring skills-based routing, intelligent routing, or classification
Experience with Zendesk Copilot, agent assist, or other AI-powered support tooling
Admin experience with Sprinklr, Gainsight, MaestroQA, Assembled, or Salesforce
Experience with APIs, webhooks, custom Zendesk apps, or scripting, plus SQL or analytics tools to evaluate workflow and tooling performance
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:
$105,000
—
$245,000 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: Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery.
What you'll do
Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production.
Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't.
Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform.
Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems. Add evaluations, tracing, and human-in-the-loop checkpoints to keep internal and customer-facing agents measurable, auditable, and safe with customer data.
Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path. Own applications such as PS Compass, Congregate, and GitLab University and its integrations, documenting build-versus-buy and consolidate-or-sunset decisions.
Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks. Design every application for handoff, with documentation, monitoring, and shared ownership.
Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters. Help CX team members bring their own applications to production, and turn field learning into reusable reference implementations, development paths, and enablement.
Contribute upstream to GitLab and share product feedback with Product and Engineering. Mentor engineers and non-engineers on agentic development and raise the team's code review bar.
What you'll bring
Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff.
Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work. You can show how they've changed what you ship and how you maintain quality.
Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations.
Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data.
Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta.
Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD.
Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials. You align with GitLab's values and are willing to use GitLab for your own work.
Optional experience includes agent harness customization; the GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing; enterprise agent governance and data controls; customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries; professional services economics and customer success metrics; Snowflake or similar warehouses; and technical writing, talks, or open source contributions on agentic development.
We welcome interest from candidates with varying levels of experience; you don't need to meet every nice-to-have to apply.
About the team
CX Platform Engineering builds and runs CX Applications for Customer Success, Digital Success, Professional Services, Education Services, and Training. We own the CX Application Platform's gateway and infrastructure alongside our application portfolio: GitLab University, the Foundational Onboarding Agent in GitLab Duo Agent Platform, Congregate, PS Compass, and Customer Wins. We build the first version with the people doing the work, turn what we learn into a reusable pattern, then hand it off so it runs without us. We reward leverage, not heroics, and don't leave tools dependent on one person.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product.
Why you’ll love this role
High Impact:
You aren't just shipping features; you are shaping the architecture of a global platform used by millions.
Technical Agency:
You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity.
Innovative Culture:
You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems.
Autonomy:
You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users.
What you’ll do
Drive Technical Direction:
Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services.
Raise the Bar:
Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness.
Mentor & Lead:
Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews.
Operational Excellence:
Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate.
AI Integration:
Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use.
What you’ll bring
Deep Backend Expertise:
A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment.
Adaptability:
Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language.
Architectural Judgment:
Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures.
Influence:
Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality.
Agentic AI Expertise:
Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale.
Remote-Global
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Senior Director, Global Subject Matter Expertise (SME) Solutions Architecture, you will build and lead GitLab's Subject Matter Expert organization: three regional teams in AMER, EMEA and APJ, each covering Security & Compliance, Platform, Core DevSecOps, and AI & Competitive. This team is the depth layer of GitLab's technical selling model. It wins the most complex opportunities, scales product expertise into the Account SA team, and turns field insight into product direction.
This is a leader of leaders role. You will manage three regional SME Managers, not individual contributors, and develop them as leaders in their own right. The SME organization is new, so we are looking for a transformational leader who thrives in ambiguity, builds structure where none exists, and has a track record of standing up high-performing technical teams in fast-growing, evolving businesses.
You will work as a peer to GitLab's regional Solutions Architecture Senior Directors and partner closely with Sales, Customer Success, Product, Engineering, Product Marketing and Sales Operations. Together you will make sure GitLab brings the right depth to the right opportunities, and that what the field learns shapes what GitLab builds next.
What you'll do
Set the strategy, operating model and global standards for the SME organization, aligned to the VP Global SA and GitLab's go-to-market plan.
Build the resourcing model from product-level bookings and consumption targets. Size each product group by region based on where the plan needs specialist coverage.
Act as the field's senior partner to Product Management and Engineering. Run a structured feedback loop that shapes roadmap, launch readiness and early-access programs.
Hire, mentor and develop regional SME Managers and, through them, the full global team.
Own the engagement model with the regional SA Senior Directors, Post-Sales SAs and Customer Success: triage rules, coverage thresholds, the closed-won handoff to Post-Sales SAs, and escalation paths.
Create and improve upon the processes, metrics and KPIs for SME-led technical evaluations, workshops, demos and Proofs of Value.
Partner with CRO staff, regional sales leaders and AVPs on product-category performance, forecast risk and competitive strategy.
Partner with Enablement to drive field readiness for new product launches with Product Marketing and Enablement, including Duo Agent Platform, security and platform offerings.
Build strong relationships with key customers at the technical sponsor and executive level.
Use AI to change how the team works, including deal research, demo creation, PoV automation and knowledge sharing.
Drive organizational transformation by finding gaps early, building structure where none exists, and leading change without waiting for top-down direction.
What you'll bring
5+ years second-line leadership experience (managing managers) in Solutions Architecture, Sales Engineering or a technical specialist organization.
Experience building or scaling a specialist, overlay or global SA team in enterprise SaaS, DevSecOps, security or developer tools.
A record of tying technical-team design to bookings and consumption outcomes, with the data to show it.
The ability to lead through ambiguity and rapid organizational change, bringing clarity and direction while strategy is still forming.
Strong relationships with Product and Engineering leaders, and a history of shaping roadmap from field insight.
Fluency across the software development lifecycle, application security (SAST, DAST, SCA), cloud platforms (AWS, GCP, Azure), Kubernetes and AI-assisted development, including LLM evaluation and production deployment patterns.
Executive presence with technical practitioners, managers and C-level stakeholders.
Proven ability to partner across Sales, Partners, Product, Engineering, Marketing, Customer Success and Professional Services.
A self-starting, entrepreneurial approach. You don't wait for a playbook; you write it.
How you'll be measured
Global product-category commit attainment and consumption growth.
Time from technical win to first workload in customer’s production environment on SME-engaged opportunities compared with non-engaged opportunities.
SME coverage and engagement speed on the top 10% of opportunities.
Account Team capability lift: fewer escalations and more deals handled without an SME over time.
Product impact: field sentiment on the product feedback process along with field-sourced requirements adopted into the roadmap.
Team health: hiring against plan, manager development, engagement and retention.
About the team
The Subject Matter Expertise (SME) organization is part of GitLab's Solutions Architecture team, a trusted technical partner for the field. SMEs bring the deepest product expertise to GitLab's most complex opportunities and carry customer feedback into conversations about product direction, enablement and value messaging. The team is distributed and all-remote, and relies on clear communication, strong judgment and shared operating practices across regions.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$244,200
—
$409,500 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT US:
AI needs a new infrastructure layer. We're building it at Modal.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in.
As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes.
What you’ll do:
- Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates)
- Partner with technical leaders to understand the real work and calibrate on what great looks like
- Help set our technical hiring bar and how we evaluate talent
- Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers
- Deliver a fast, respectful, honest candidate experience
- Bring an equity lens to every stage of the process
- Use data and market context to keep searches on track and expectations aligned
- Support candidates as a trusted guide through high-stakes decisions
REQUIREMENTS:
- You know technical recruiting inside and out and enjoy the challenge of deeply technical roles
- You’re curious – you ask the right questions and love understanding how things actually work
- You influence with insight and honesty, not by simply having the loudest voice in the room
- You move quickly and communicate clearly, even when things get messy
- You’re a strong closer who builds trust early and stays ahead of concerns
- You’re steady when priorities shift and can recalibrate without losing momentum
- You care about people and want them to have a thoughtful, fair, and human experience throughout the process
Location: San Francisco; New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people, and that’s where you come in.
As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes.
WHAT YOU'LL WORK ON:
- Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates)
- Partner with GTM leaders to understand the real work and calibrate on what great looks like
- Help set our hiring bar and how we evaluate talent
- Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent
- Deliver a fast, respectful, honest candidate experience
- Bring an equity lens to every stage of the process
- Use data and market context to keep searches on track and expectations aligned
- Support candidates as a trusted guide through high-stakes decisions
YOU MAY BE A FIT IF:
- You know GTM recruiting inside and out and enjoy challenging searches
- You’re curious: you ask the right questions and love understanding how things actually work
- You influence with insight and honesty, not by simply having the loudest voice in the room
- You move quickly and communicate clearly, even when things get messy
- You’re a strong closer who builds trust early and stays ahead of concerns
- You’re steady when priorities shift and can recalibrate without losing momentum
- You care about people and want them to have a thoughtful, fair, and human experience throughout the process
Location: Sainte-Anne-de-Bellevue, Canada
📍
Location:
Sainte-Anne-de-Bellevue, QC, Canada
📄
Employment Type:
Full-Time
🏢
Work Arrangement:
Remote available for U.S. and Canadian Citizens
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Remote & Relocation Opportunities
U.S. and Canadian Citizens:
Remote work arrangement available.
UK and European Candidates:
Relocation assistance/allowance and a
relocation bonus
are available for qualified candidates willing to relocate to Canada.
Candidates should be prepared to support collaboration across multidisciplinary spacecraft engineering teams.
Important Screening Requirements
Bachelor’s degree in
Electrical Engineering, Aerospace Engineering, Physics, or a related field
.
8+ years of Electrical Power System (EPS) design experience
on LEO/MEO satellite platforms.
Deep knowledge of
spacecraft bus subsystems and their interactions
.
Experience with
power electronics design and power management hardware
.
Strong understanding of aerospace systems engineering fundamentals.
Hands-on experience supporting
systems integration, testing, and troubleshooting
.
Experience with
Confluence and JIRA
.
Ability to work effectively with limited supervision.
Strong analytical and problem-solving skills.
Excellent written and oral communication skills in English.
French is an asset.
About the Role
We are seeking an experienced
Satellite Electrical Power System (EPS) Design Engineer
to support the concept, detailed design, analysis, verification, and integration of electrical power subsystems for current and next-generation
remote sensing and communications satellites
.
The role focuses on the design and development of
solar arrays, power-conditioning units, batteries, power distribution, and regulation systems
, while working closely with multidisciplinary teams across payload, spacecraft bus, thermal, structural, avionics, and mission systems.
The successful candidate will contribute to the development of reliable, high-performance EPS solutions throughout the spacecraft lifecycle, from early architecture and trade studies through integration, launch, and on-orbit operations.
What We’re Looking For
We’re looking for a
senior spacecraft electrical power systems engineer
with strong experience designing and integrating EPS architectures for satellite platforms.
The ideal candidate can work across the full EPS lifecycle, from
power architecture and trade studies through detailed design, modeling, verification, spacecraft integration, launch, and on-orbit support
.
Strong candidates will combine deep power electronics and spacecraft EPS expertise with hands-on systems integration, analytical problem-solving, and the ability to work effectively across multidisciplinary engineering teams.
Key Responsibilities
Architecture & Requirements
Define EPS architectures covering
power generation, energy storage, and distribution
while meeting mission power, mass, volume, and reliability requirements.
Perform architecture and technology trade studies involving:
Solar cell technologies
Battery chemistries
Regulator topologies
Develop system requirements and functional flow block diagrams.
Develop and maintain
Interface Control Documents (ICDs)
and design descriptions.
Manage requirements and maintain bidirectional traceability throughout the program lifecycle.
Detailed Design & Analysis
Size and evaluate:
Solar arrays
Power-conditioning units
Battery packs
Power distribution units
Build and validate high-fidelity electrical models for spacecraft operating modes.
Perform
FMECA and fault-detection analysis
.
Develop and maintain power budget models.
Perform load-flow and thermal-power coupling analyses.
Conduct survivability analyses for:
Eclipse operations
Safe mode
Fault-tolerant operation
Analyze EPS performance across different spacecraft mission phases and operating conditions.
Cross-Functional Coordination
Present technical status, risk analyses, and trade-study results to senior management.
Interface with spacecraft bus teams across:
Power
Thermal
Structures
Avionics
Develop and maintain high-fidelity power models for mission analysis, including:
Orbit raising
Station keeping
De-orbit
Develop tools supporting power efficiency and optimization.
Support
Phase 0 and pre-Phase A
activities.
Collaborate with multidisciplinary engineering teams throughout the spacecraft lifecycle.
Integration & Verification
Author
Verification Plans, Test Matrices, and Validation Procedures
for unit and EPS subsystem testing.
Support ground-test and integration campaigns.
Support:
Fueling activities
Thermal-vacuum testing
EMI/EMC testing
Spacecraft-level integration
Analyze test data and support anomaly resolution.
Close out anomalies and update design baselines.
Support flight software integration.
Technical Leadership & Mentorship
Mentor and guide junior and intermediate systems engineers and interns.
Lead or support multidisciplinary engineering activities.
Serve as a technical liaison with customers, partners, and external vendors.
Contribute to continuous improvement initiatives.
Contribute to engineering knowledge bases, processes, and standards development.
Configuration, Documentation & Standards
Maintain EPS design and safety standards.
Ensure engineering analyses, software, documentation, and deliverables are properly version controlled within the PLM environment.
Support spacecraft design reviews, including:
SRR
PDR
CDR
MRR/TRR
Support technology road-mapping and innovation activities.
Launch, On-Orbit & Operations Support
Support launch-site interface checklists with the responsible launch vehicle interface engineer.
Support pre-launch checkout procedures.
Support early-orbit checkout scripts.
Provide real-time EPS engineering support during:
Launch
On-orbit commissioning
Anomaly investigations
Contingency operations
Support
Satellite Operations Handbook (SOOH)
development and associated operator training.
Required Qualifications
Bachelor’s degree in
Electrical Engineering, Aerospace Engineering, Physics, or a related field
.
8+ years of EPS system design experience
on LEO/MEO satellite platforms.
Deep knowledge of spacecraft bus subsystems and their interactions.
Experience with power electronics design and power management hardware.
Strong understanding of aerospace systems engineering fundamentals.
Hands-on experience supporting
systems integration and testing
.
Strong troubleshooting and problem-solving capabilities.
Experience with
Confluence and JIRA
.
Ability to work efficiently with limited supervision.
Ability to break down complex technical problems and develop practical solutions.
Excellent written and oral communication skills in English.
Preferred Qualifications
Experience designing EPS architectures for
remote sensing or communications satellites
.
Experience with solar array, battery, power-conditioning, and power-distribution systems.
Experience with
high-fidelity spacecraft power modeling
.
Experience with FMECA, fault detection, survivability analysis, and reliability engineering.
Experience supporting
thermal-vacuum, EMI/EMC, and spacecraft-level integration testing
.
Experience with mission-phase power analysis, including orbit raising, station keeping, eclipse, safe mode, and de-orbit.
Experience developing tools for power efficiency and optimization.
Experience supporting spacecraft
launch-site and on-orbit operations
.
Experience with spacecraft design reviews and lifecycle processes.
French language skills are an asset.
Location: Los Angeles, United States
Workplace: onsite
ABOUT YOU
We’re looking for an Event Manager to join our global Experiential Marketing team. You’ll lead and support the delivery of world-class events and activations across North America and international regions, ensuring every touchpoint reflects Xsolla’s innovative spirit and commitment to the gaming industry.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Lead event strategy, logistics, and on-site execution for Xsolla’s North American and select global events.
Support Corporate Events and VIP Events at private venue in Sherman Oaks, CA
Manage merchandise inventory, ordering, and allocation for Americas
Manage sponsorship deliverables and partnerships at industry events.
Source and negotiate with venues and vendors (booth builders, AV, creative production, hotels, etc.)
Maintain and track detailed budgets across multiple currencies and regions.
Collaborate with internal marketing teams to develop event-related campaigns, including landing pages, email marketing, and social media initiatives.
Create and manage event listings on the Xsolla website and registration platforms (e.g., Splash).
Partner with creative teams to brief and deliver event materials, graphics, and branded assets.
Coordinate speaking sessions, panel participation, and content development with internal stakeholders.
Develop pre-event briefings, on-site run-of-show documents, and post-event reports.
Track leads, analytics, and ROI for each event, ensuring timely processing within CRM systems.
Support new event research, sponsorship evaluations, and strategic recommendations for future activations.
Travel internationally as needed to oversee event delivery and represent Xsolla at global industry gatherings.
Qualifications & Skills:
3+ years of experience
in event management or experiential marketing, ideally within the
gaming, tech, or software
industry.
Proven ability to manage
global events
and understand
regional nuances and budgets
.
Strong project management and organizational skills - able to handle multiple simultaneous projects with precision.
Excellent communication and interpersonal skills (written and verbal).
Creative problem-solver with the ability to make quick, informed decisions.
High attention to detail, quality, and brand alignment.
Proficiency with
Google Workspace
; experience with
Atlassian tools (Jira, Confluence)
is a plus.
Familiarity with
event registration and marketing platforms
such as Splash.
Ability to travel internationally and work flexible hours to support global time zones.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Event Manager, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/managing budgets/accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
The listed range is specific to Los Angeles, CA and varies based on factors such as location and experience.
Location: Palo Alto, CA or Seattle, WA
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build.
Locations: Seattle, WA or Palo Alto, CA.
RESPONSIBILITIES
- Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes.
- Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require.
- Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted.
- Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring.
- Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability.
- Raise the bar through design review, testing discipline, and mentorship as the team grows.
QUALIFICATIONS
REQUIRED
- You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments.
- Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale.
- Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast.
- Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build.
- Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation.
- Go. Professional proficiency. Docker's backend and all of this team's code is Go.
- 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others.
STRONGLY PREFERRED
- Kubernetes resource orchestration and cloud controllers, such as KRO.
- Release engineering and software supply chain: OCI registries, digests, license compliance.
- Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy.
- OpenTelemetry pipelines with multiple destinations.
- Building managed services.
- Firecracker, microVMs, or other isolated execution environments for untrusted code.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
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- Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation;
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ОфисSan Francisco, CA
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ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
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