Location: Strava London
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THE ROLE
The Strava for Business team partners with the world's leading brands and agencies to inspire active communities and connect with athletes in meaningful ways. Our sponsorship solutions offer an innovative alternative to traditional advertising — rooted in motivation, community, and real-world impact.
We're growing fast and quote-to-cash rigor is the foundation of that growth. Today, the individual stages of our commercial process have clear owners across Sales, Creative Solutions, Partner Marketing Science, Legal, Product and Finance. The gap is in how those stages work together end to end.
This role sits within GTM Strategy & Operations, reporting into the Global Lead of the function.
This is a high-impact, high-autonomy role. You'll work at the intersection of all teams that are involved in our quote-to-cash process. This is a role for someone who excels in taking complex go-to-market problems, redesign the underlying process and drive change across teams, systems and ways of working.
We follow a flexible hybrid model that translates to more than half of your time on-site in our London, UK office — three days per week.
WHAT YOU'LL DO
• Own and improve quote-to-cash. Map the end-to-end commercial journey, identify bottlenecks and redesign processes so deals move cleanly from opportunity through delivery and revenue recognition.
• Lead cross-functional quote-to-cash transformation. Work across Sales, Partner Marketing Science, Creative solutions, Legal, Finance, IT and Product to solve problems that sit between functions and drive improvements through to completion.
• Integrate new products and capabilities. Make sure new propositions can be quoted, contracted, delivered, reported, invoiced and recognised cleanly before they scale.
• Improve business systems and handoffs. Design better workflows across the commercial stack, including HubSpot, Ironclad, delivery tooling, billing and revenue systems. Ensure data, ownership and approvals move cleanly between them.
• Build operational visibility. Establish the KPIs, reporting and escalation mechanisms needed to understand where the commercial engine is working - and where it is not.
• Own the transformation roadmap. Help make the operating model real by ensuring global design is informed by regional and XFN teams needs and can be deployed effectively.
WHAT YOU’LL BRING TO THE TEAM
• Minimum 5+ years of relevant experience in quote-to-cash, revenue productivity, commercial learning, go-to-market enablement, strategy and operations, product operations, program management or a closely related field.
• Hands-on experience running or redesigning quote-to-cash, covering at least two of quoting, contracting, order management, billing and revenue recognition handoffs, and working directly with Legal and Finance.
• A proactive mindset with the ability to navigate ambiguity, drive and execute initiatives, and deliver results in a fast-paced, dynamic environment.
• Comfort operating in a builder environment — you're not inheriting a playbook; you're helping create it. You thrive with autonomy, move quickly through ambiguity, and are energised by building from zero.
• Ability to map complex processes, identify root causes and design simpler, scalable operating models.
• Strong communication, stakeholder management, and storytelling skills, with comfort presenting recommendations and direction to stakeholders.
• Demonstrated ability to manage multiple projects, prioritize effectively, and meet deadlines.
• A detail-oriented, methodical, and process-driven mentality that is focused on both accuracy and efficiency.
• Demonstrated ability to operate at the intersection of Sales, Product, Legal, Finance, and regional teams, with strong influence in a matrixed environment.
IDEALLY, YOU'LL ALSO BRING
• Experience in adtech, media, advertising platforms or digital partnerships, with an understanding of the operational complexity behind deal delivery, measurement, creative operations, contracting and revenue recognition.
• Familiarity with CRM platforms (e.g., Salesforce, HubSpot), Asana, Ironclad.
WHAT SUCCESS LOOKS LIKE
• The end-to-end commercial process is documented and ownership is clear.
• The biggest quote-to-cash bottlenecks have been identified and materially removed.
• Critical handoffs between teams and systems are more reliable and measurable.
• New products can enter the commercial process without bespoke workarounds.
• Leadership has a clear view of operational health and where intervention is needed.
• GTM operations are built ahead of the business's growth rather than catching up with it.
For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vQaL4k0r5qTzPPaz8ijiQE4zKfTUTfKaT9T5SGrNryOI6myGi7L5PtJs6l5iUF5hmVzFpJl0k6cLxWF/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Riga, Latvia
Workplace: hybrid
About the Client
Our client is an international payment services provider for online businesses. It offers payment processing, merchant accounts and tools for recurring payments and payouts.
Role Overview
Take on a role where your analysis helps protect merchants and keep payment activity within risk limits. You will investigate suspicious transactions, track fraud and chargeback trends, and work with Compliance, Sales and Account Management to make balanced decisions.
Key Responsibilities
Monitor transactions daily to detect, prevent and report suspicious activity.
Use analytical tools to assess and mitigate money laundering, terrorist financing, fraud and reputational risks.
Track fraud and chargeback ratios at merchant and acquirer levels.
Identify patterns and anomalies in transaction data.
Work with Compliance, Sales and Account Management to keep the merchant portfolio aligned with risk appetite.
Communicate risk findings and decisions clearly to relevant teams.
Requirements
2+ years of experience in compliance or risk functions.
Knowledge of Visa and Mastercard rules and risk programs.
Good data analysis skills.
Working level of English, and preferably Russian and Latvian.
Understanding of banking, particularly AML transaction monitoring, is a plus.
Key Soft Skills
Analytical and detail-oriented, with an eye for patterns and anomalies in large volumes of transactions.
A clear, constructive communicator who can explain risk decisions to Sales and Account Management.
Takes ownership and makes balanced decisions under time pressure.
Curious and open to learning about changing card scheme rules and fraud trends.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Remote, Canada; 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 a Principal Executive Recruiter at GitLab, you’ll lead VP-level and other senior leadership searches across Sales, People, Legal, Finance, and other corporate teams. You’ll partner directly with senior executives to identify, engage, assess, and hire leaders, bringing market intelligence and a research-driven approach to complex, often confidential searches. Alongside owning searches end to end, you’ll help shape the strategies, frameworks, and practices that strengthen executive recruiting at GitLab, balancing search rigor with the agility of a fast-moving technology organization.
What you’ll do
Lead VP-level and other senior leadership searches end to end, from search strategy and market mapping through assessment, selection, and closing.
Advise C-suite executives and senior business leaders on hiring decisions, challenge assumptions, and navigate complex stakeholder dynamics.
Develop talent strategies using market mapping, competitive intelligence, creative sourcing, and recruiting data to guide each search.
Build relationships with passive executive talent, understand their motivations, and connect opportunities to GitLab’s mission and business priorities.
Partner with hiring leaders to define success profiles, assess executive capabilities and business impact, and guide evidence-based hiring decisions.
Own executive candidate relationships and deliver a high-touch experience through compensation discussions, competing opportunities, and negotiations.
Manage multiple confidential, business-critical searches with discretion, balancing urgency, quality, stakeholder alignment, and candidate experience.
Collaborate with Talent Acquisition leadership and executive recruiting peers to improve search frameworks, assessment practices, reporting, and tools.
What you’ll bring
Experience independently leading VP-level and senior executive searches through successful hires in an executive search firm, an in-house executive recruiting function, or both.
Executive recruiting experience across functions such as Sales, People, Legal, Finance, or other corporate teams, with the business acumen and curiosity to learn new domains.
The ability to build trusted relationships with C-suite executives, influence senior stakeholders, and provide candid, evidence-based guidance on hiring decisions.
Skills in talent research, market mapping, creative sourcing, leadership assessment, and engaging and closing passive executive talent.
Business judgment, communication, and negotiation skills to navigate sensitive searches, complex compensation discussions, and competing executive priorities.
Experience developing or improving executive search methodologies, frameworks, and processes while maintaining speed and flexibility.
A hands-on approach to managing multiple high-priority searches independently and working through ambiguity.
Experience in high-growth technology or enterprise software organizations, global executive searches, and distributed organizations is helpful.
About the team
You’ll join a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Guided by GitLab’s operating principles, including Speed with Quality, Ownership Mindset, and Customer Outcomes, we take ownership, move with urgency and rigor, and focus on hiring outcomes that matter to our internal customers. We share learnings and create reusable resources to continually improve the quality and consistency of hiring across Business teams.
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
$184,800
—
$314,400 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 (US); San Francisco, CA; New York, NY (HQ)
Workplace: Remote
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
Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You’ll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs.
You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer’s needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams’ roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers.
You will define the customer’s financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp’s technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer.
This role is focused on Commercial customers, supporting high-growth companies with standardized financial workflows, core ERP integrations, and repeatable implementation patterns that drive fast time-to-value.
WHAT YOU'LL DO
- Act as a technical advisor to customers and Ramp’s internal teams while supporting high-value implementations and expansion opportunities by guiding integration, configuration, and system design
- Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions; particularly involving ERP, HRIS, and API integrations
- Collaborate with onboarding specialists and implementation leads to support technical workstreams (not run them), ensuring faster time-to-value and customer success
- Work with customers to problem-solve technical hurdles and propose effective product implementations for each customer with a deep understanding of the full range of integration and configuration options
- Participate in technical discovery to understand customer systems and workflows, and recommend best-fit Ramp architecture. This includes when and how to use Ramp’s API
- Be a subject matter expert across our HRIS and Accounting integration partners, partnering with Sales, Product and partners to advocate for integration development in-line with customer needs
- Troubleshoot integration blockers and guide customers through complex configuration decisions without writing code directly
- Contribute to internal documentation and tooling that scales Ramp’s ability to support integration use cases across a growing customer base
- Influence Ramp’s product roadmap by channeling customer pain points and feedback to the Product and Engineering teams
WHAT YOU NEED
- Bachelor's degree in computer science, engineering, finance, business, or a related field
- 2+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment
- Familiarity with ERP systems (e.g. NetSuite, Sage Intacct, Microsoft Dynamics, Oracle Fusion) and finance/accounting workflows
- Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders
- Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities
- Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering
- Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership
- Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp’s upmarket motion
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development.
Responsibilities:
Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale
Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity
Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure
Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines
Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy
Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio
You may be a good fit if you:
Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects
Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning
Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures
Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making
Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors.
Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences
Strong candidates may also have some of the following:
Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure
Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads
Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs)
Background in transmission planning, interconnection study processes, or grid capacity analysis
Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery
Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco
Workplace: Remote
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a Series B enterprise AI startup that raised $108M from a16z, Benchmark, First Round, BoxGroup, and YC, building infrastructure that turns complex documents into structured, AI-ready data. Its API-based platform processes PDFs, images, spreadsheets, and other unstructured files, helping organizations build production AI applications and automate document-intensive workflows.
Our client supports AI-native startups and large enterprises with demanding accuracy and deployment requirements. The team is founder-led and engineering-first, with engineers working directly with customers and using what they learn to improve the product.
THE MISSION
Make complex document data reliable enough to build on.
Our client helps organizations unlock information inside unstructured files while preserving the detail and structure that downstream applications depend on. The goal is to deliver accurate, usable data that holds up in production, not simply extract text that looks convincing in a demo.
THE OPPORTUNITY
Own the technical work that turns an enterprise evaluation into a successful production deployment.
As a Forward Deployed Engineer, you’ll build applications, run evaluations, troubleshoot integrations, and stay close to customer results. You’ll partner with sales during technical evaluations, then own technical success for 1-3 enterprise accounts, helping customers resolve issues, deepen adoption, and expand into additional use cases.
This is a founding role within our client’s developing FDE function. You’ll work directly with founders, product, and engineering to shape the platform and establish how future deployments are delivered.
The role combines substantial engineering work with customer relationships and deployment responsibility. Both backend-leaning engineers and customer-facing FDEs are welcome, but independent coding and production deployment ownership are essential. This position requires full-time, in-person work in San Francisco, five days per week.
WHAT YOU'LL DO
- Turn customer requirements into working applications and integrations
- Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking
- Build custom applications, agents, evaluation tools, and product enhancements
- Own technical success for 1-3 enterprise accounts, meeting weekly or biweekly
- Resolve deployment and integration issues to deepen adoption
- Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions
- Explain technical decisions and trade-offs to customer stakeholders
- Identify new use cases and expand deployments across teams
- Translate customer insights into product improvements and engineering priorities
WHAT YOU BRING
- 3+ years of full-time production engineering experience shipping software for enterprise customers
- Experience at a recognizable, high-growth startup with strong engineering standards
- Independent ownership of building, deploying, and supporting production applications or AI pipelines
- Strong production-level Python and engineering fundamentals
- Solid understanding of AI, LLMs, and machine learning concepts
- Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment
- Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints
- Clear communication and confidence leading technical customer conversations
- A quantitative approach to debugging, experimentation, and performance measurement
- Willingness to work on-site in San Francisco five days per week
KEY SUCCESS DRIVERS
- Ownership: You identify what needs doing and follow through until the issue is resolved and the deployment works
- Technical judgment: You build solutions that fit the problem and validate them with evidence
- Customer judgment: You understand the customer’s technical context and connect engineering work to useful outcomes
- Quality: You move quickly without overlooking the details that determine production reliability
- Communication: You explain trade-offs clearly and keep technical and business stakeholders aligned
- Resourcefulness: You build the tools, diagnostics, or prototypes needed to unblock progress
- Adaptability: You move comfortably between coding, evaluations, troubleshooting, and customer conversations
WHY JOIN?
- Compensation: 220,000-320,000 annual salary, plus competitive equity
- Scope: Help build the FDE function while owning evaluations, implementation, and ongoing technical outcomes
- Production impact: Solve document-processing and deployment challenges that directly affect enterprise AI applications
- Product influence: Work directly with founders and engineering to turn customer needs into platform improvements
- Team: Join a founder-led, engineering-first environment with close collaboration across product, sales, and customer success
- Benefits: Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible health and wellness reimbursement
- Office support: Free daily lunch and reimbursed transportation
- Visa support: Open to visa transfers (e.g. OPT, H1B transfers) and sponsorship
INTERVIEWING PROCESS
1. HR screening
2. Hiring manager screen and technical interview - 30 minutes: Live Python coding to assess engineering fundamentals and problem-solving.
3. On-site practical assessment: Build an application relevant to the role, with a focus on engineering depth or technical presentation and customer communication.
4. Offer extended.
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: Remote
Workplace: Remote
ABOUT BUFFER
We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way.
Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open.
We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team.
As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years.
ABOUT THE ROLE
You’ll lead engineering for Growth at Buffer across both product and marketing surfaces. The work spans acquisition, activation, and retention. You’ll connect how people discover Buffer and decide to sign up and whether they stay.
We’re looking for someone who wants to stay close to the details, from where a customer gets stuck in a flow to the technical decisions that shape how it works. You’ll help the team decide which problems to solve, what to try first, and how to tell if we made things better for customers.
You'll partner closely with Product, Design, Marketing and Data to shape technical direction, create space for engineers to do their best work, and build a culture of ownership and continuous improvement.
WHAT YOU'LL DO
- Support engineers through regular coaching, clear feedback, and meaningful career conversations.
- Shape priorities with Product, Design, and Marketing, bringing your own point of view and grounding decisions in customer needs & data.
- Stay close to technical decisions and product details. Help the team build clear, accessible, responsive experiences, and help judge when to keep refining and when to ship and learn.
- Help connect customer insights, product changes, and measurement so we understand whether our work is helping.
- We're also changing how we build with AI. You'll have room to help shape that, through your own experiments and by helping the team develop good judgment and systems to work with AI effectively.
- Contribute to the wider Engineering team through hiring, shared practices, and improvements to how we work.
WHAT WE'RE LOOKING FOR
- You've managed engineers and can talk concretely about helping people grow, giving feedback, and addressing performance concerns.
- You care about how software feels to use. You notice unnecessary steps, unclear interactions, and details that get in someone's way. You could walk through something you helped build and explain the choices, compromises, and things you left out.
- You have a strong engineering background and remain comfortable getting into technical details. That might mean reviewing code, exploring an architecture, building a prototype, or helping someone work through a difficult trade-off.
- You’re ambitious about what you can build with AI. You use it in your own engineering work to take on bigger problems, and you know how to steer it, check its work, and make the calls that need your judgment. You help the engineers you lead do the same.
- You communicate clearly in writing, take ownership, and work well with people across different disciplines and time zones.
- You understand how a product helps a business grow, from how customers find it to why they pay for it and keep using it. You might have learned that through growth work and experimentation, or by growing a product as a founder or on an early-stage team. You use that understanding to decide what’s worth building and help engineers build it well.
- You have a personal connection to making and sharing things. Maybe you've written a newsletter, shared your work online, built a side project, or run a small business. You understand something of the effort it takes to put your work out there and find an audience. You don't need a big following; we're interested in that connection and what it's taught you.
OUR HIRING PROCESS
- Please express your interest below by sharing your LinkedIn profile and resume, and a short note about what interests you in the role and why you think it could be a good match. (If you choose to use AI while writing your message, please limit usage to light edits or research. We'd love to hear your own voice come through.)
- If we'd like to explore the fit further, we'll reach out to learn more about you.
- Our interview process includes a conversation with a member of our hiring team (Sara https://www.linkedin.com/in/sara-almeida-b1a78012b/ or Caro https://www.linkedin.com/in/carolynkopprasch/), meeting the hiring manager for this role (Kateryna https://www.linkedin.com/in/kporshnieva/), getting to know some teammates and peers (varies based on schedules), and meeting our CEO, Joel https://www.linkedin.com/in/joelgascoigne/.
- Our final stage is a two-day-long paid collaboration period. This is designed to mimic a real work project, so that we can each see what it's like to work together.
PRIVACY POLICY
By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it.
As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
WHAT YOU'LL DO
- Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows.
- Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run.
- Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand.
- Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it.
- Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on.
- Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs.
- Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics.
- Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work.
WHAT WE'RE LOOKING FOR
- 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company.
- Experience setting technical direction and raising the bar for a team.
- Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end.
- Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs.
- Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems.
- Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them.
- Excellent technical writing. You know what world-class developer content looks like.
- A track record of owning projects end to end with little direction.
- Strong intuition for developer tools and a love of well-crafted user experiences.
NICE-TO-HAVES
- You've used Render before, professionally or on side projects.
- Experience with AEO or SEO, or with measuring how content performs in LLM answers.
- A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog.
- Experience presenting workshops and technical talks.
SOME PROJECTS YOU MIGHT WORK ON
- A video series on building and deploying an MCP server on Render.
- A sample app for an upcoming launch, built with Product and Engineering ahead of release.
- An agent skill that turns a tutorial into a tested, deployable template.
- Tracing why coding agents fail on a specific docs page, then shipping the fix.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
The role / impact
You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency.
Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community.
The team / how they connect
You will join the Payments team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide.
The team is currently working on / Initially, you will focus on
- Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency.
- Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS.
- Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs.
- Automating manual processes and applying test-driven and trunk-based development practices.
Where and how you can work
This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks.
Here are some of the things we are looking for
- You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go.
- A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit.
- Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical.
- Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed.
- Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows.
- You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Compensation & Total Rewards
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is 131,800 - 150,000 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Canada; Calgary; Vancouver; Toronto; Montreal
Workplace: Remote
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.
Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding.
IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature.
Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension.
As a Data Annotation Specialist on safety task, you will:
- Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing.
- Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases.
- Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses.
- Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality.
- Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment.
You may be a good fit if you have:
- 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred.
- Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias.
- Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
- Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language!
- Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
- Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.
The Candidate Journey:
Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.
Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.
Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!
Offer - Independent Contractor Agreement
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Grafana Labs is looking for a
Enterprise Account Executive, Acquisition
who will be responsible for prospecting and closing new business across the
NYC Metro
region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before.
Responsibilities
Meet and exceed individual quarterly and annual sales goals
Outbound prospecting into net-new customers
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
Requirements
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Familiarity with open source technology is a significant advantage
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Experience using Salesforce
Experience using Command of the Message and MEDD(P)ICC is ideal
In the US, the OTE compensation range for this role is $280,000 - $310,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, TX; Denver, CO; Washington D.C.; New York City
About the Team
Our team builds the products that answer "Can we trust this traffic?" Knowing who's human, who's an agent, and who's a malicious actor is core to Cloudflare's strategy, and one of the primary values we deliver to our customers.
Our products address a broad and evolving range of traffic integrity challenges. Examples include managing unwanted scraping, controlling access for bots and AI agents, and identifying fraud and abuse while minimizing friction for legitimate users. Our products make probabilistic decisions in an adversarial environment, using Cloudflare's global network signals, threat intelligence, and machine learning. We turn those signals into analytics and controls that customers can understand, trust, and act on. These are challenging engineering problems at the intersection of distributed systems, data, security, and customer experience.
Who You Are
You have a track record of leading engineering teams, including hiring, onboarding, coaching, and supporting professional growth. Your past teams respect you as both a technical leader and a people manager.
You have a strong foundation in software engineering, with experience designing, building, and operating large-scale distributed systems and services.
You have taken projects from inception to production and overseen execution to meet commitments in a fast-paced, iterative engineering environment.
You connect business goals with technical decisions, explain both the "why" and the "how," and make thoughtful tradeoffs when requirements are uncertain.
You work effectively across Product, Engineering, and other functions to align priorities, remove blockers, and deliver shared outcomes.
You communicate clearly with engineers, customers, and senior leadership, adapting the level of technical detail to your audience.
You use AI fluently in engineering workflows and have the judgment to know where it accelerates the work and where it falls short.
You are curious about web security, bot management, fraud and abuse, and the evolving role of AI agents on the Internet. You do not need to know our exact stack, but you should be eager to go deep in the domain.
What You'll Do
We are looking for an Engineering Manager to lead a team building and scaling Cloudflare's products for bot management, fraud detection, and abuse mitigation. You will recruit, mentor, and grow talented engineers, provide technical leadership, and partner closely with Product Management to shape and deliver the engineering roadmap.
You will partner with detection and research teams to turn their signals into reliable, performant, and easy-to-use customer solutions. Our systems span real-time services running across Cloudflare's global network, APIs and configuration, and high-volume data and analytics pipelines. You will collaborate across engineering and product teams to bring new capabilities into production and continuously improve the customer experience.
Key responsibilities:
Lead and grow the team.
Hire, mentor, and empower engineers through clear feedback, thoughtful career development, and a culture of ownership and technical excellence.
Shape and deliver the engineering roadmap.
Partner with Product Management to translate customer problems into incremental deliverables, balancing new capabilities with reliability, performance, and maintainability.
Provide technical leadership.
Participate in design discussions and guide decisions about scalable distributed services, product integrations, APIs, and analytics.
Turn detection signals into customer capabilities.
Partner with detection and research teams to deliver actionable analytics and configurable controls, helping customers balance security, user experience, and privacy.
Measure and improve customer outcomes.
Work with Product and detection partners to use feedback and production data to improve effectiveness, reduce unnecessary friction, and make products easier to adopt.
Own operational health.
Ensure your team's services have effective observability, safe releases, incident response, and follow-through on improvements.
Drive cross-team execution.
Resolve dependencies, align priorities across teams, and work with customer-facing partners to address recurring product problems at their roots.
Additional Experience We Value
Experience building bot management, fraud detection, application security, or other products that make decisions in an adversarial environment.
Familiarity with HTTP, browser technologies, JavaScript, and the tradeoffs between security, privacy, and user experience.
Experience integrating machine learning models into production systems or partnering closely with data science and machine learning teams.
Experience with high-volume data pipelines, analytics services, or columnar databases such as ClickHouse.
Experience with technologies used in our systems, such as Go, Rust, Python, Kafka, Kubernetes, and PostgreSQL.
Compensation
Compensation may be adjusted depending on work location.
For Washington D.C. & New York City based hires: Estimated annual salary of $190,000 - $261,000
For Denver based hires: Estimated annual salary of $170,000 - $233,000
Applications will be accepted until November 30, 2026.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Majors Customer Success Manager, you’ll play a critical role in guiding our largest customers through their journey with Harvey and defining the future of work at elite law firms, Fortune 500 companies and premier asset managers. This position is pivotal in ensuring our customers not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes, providing expert industry advice and shaping Harvey’s product roadmap.
Role Overview
As a Majors Customer Success Manager, you’ll lead AI implementation, adoption and change management for Harvey’s largest customers, including leading law firms, Fortune 500 companies and asset managers. You’ll work directly with senior leaders and practicing lawyers to identify where AI can improve their work, turn those opportunities into implementation plans and lead the cross-functional effort to deliver results.
You’ll own the customer relationship end to end as the primary lead for a portfolio of strategic accounts, from initial deployment through ongoing adoption and renewal. This role combines the strategic depth of advisory work with responsibility for account health, measurable customer value and retention. You’ll drive retention by establishing measurable value, understanding customer needs and addressing barriers to continued investment, partnering with Sales throughout the customer lifecycle.
What You’ll Do
- Lead implementation and transformation programs. Assess customer goals and current workflows, identify valuable use cases and build plans with clear milestones, owners and success measures. Drive execution across practice groups, business functions and regions, adapting the plan as you learn what works.
- Drive change in how lawyers work. Partner with lawyers and customer leadership to embed Harvey into everyday practice. Develop champions, address resistance and coordinate targeted training with Legal Product Specialists. Help customers turn successful individual use cases into repeatable ways of working across teams.
- Own your customer portfolio. Set account strategy and use adoption data, stakeholder feedback and business impact to assess progress and direct the next phase of work. Address risks early and lead the response to escalations, keeping customers informed and internal teams accountable for resolution.
- Drive retention and support growth. Conduct ongoing discovery to understand customer goals, decision criteria and stakeholder sentiment. Build the case for renewal through demonstrated value, address retention risks early and equip Sales to lead renewal discussions. Identify expansion opportunities grounded in customer needs and business impact.
- Lead cross-functional delivery. Bring together Legal Engineering, technical specialists, Product and Sales around a shared customer plan. Clarify responsibilities, manage dependencies and resolve blockers. Coordinate specialist contributions and ensure their work advances the broader account strategy. Translate customer needs and delivery lessons into product feedback and repeatable playbooks.
- Advise executives and align stakeholders. Build relationships with senior partners, General Counsel and innovation, technology and operations leaders. Lead discussions about investment and progress, align stakeholders with competing goals and manage difficult conversations when expectations or results shift.
Travel required: up to 25%.
What You Have
- Experienced background in asset management, banking or financial service management consulting, technology advisory, transformation delivery or strategic enterprise customer success, with direct responsibility for delivering complex client programs. Experience serving legal, financial services or professional services organizations is valuable.
- A track record of turning business goals into executable plans and managing multiple work streams through delivery, with clear ownership of timelines, stakeholder alignment and results.
- Experience helping organizations adopt new technology and change established ways of working. You understand that successful implementation requires both a working solution and people who use it.
- The ability to earn credibility with senior executives and work directly with end users, moving comfortably between strategic discussions and hands-on execution.
- Strong analytical and commercial judgment, with the ability to assess customer value, uncover renewal considerations and identify retention risks early.
- A collaborative approach and the judgment to prioritize across a demanding customer portfolio. You take initiative, work effectively through ambiguity and bring curiosity about AI and its practical applications.
What We Offer
- Ownership of AI implementation and transformation programs with some of the world’s leading legal and business organizations.
- The opportunity to build lasting customer relationships and see your work translate into measurable improvements over time.
- Close collaboration with product and specialist teams, with direct input into how Harvey’s technology and customer delivery approach evolve.
COMPENSATION RANGE
- $180,000-$210,000 OTE with an 80/20 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-BS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: AMER
Why CAST AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Our Client Partners work closely with our existing customers to build long-lasting customer relationships and ensure increased adoption, quick value realization and long-term delight for each customer's journey. Account Managers will also be tasked with upselling and cross-selling our existing and new solutions to their managed accounts and will be compensated accordingly based on these results.
Product Overview
Kimchi is Cast AI's governed AI coding platform - an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data.
As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty - including self-hosted deployment for the most regulated environments.
About the Role
AI-assisted development is becoming organizational infrastructure, yet most enterprises lack visibility and control over AI coding costs, model usage, and source-code governance across their engineering teams. As the
Regional Vice President of Sales for AMER (Kimchi)
, reporting directly to the SVP WW Sales of Kimchi, you will lead the dedicated commercial organization focused exclusively on expanding Kimchi's footprint across enterprise markets.
In this role, you will own the regional revenue target for
Kimchi
. You will recruit, build, and scale an elite team of Enterprise Account Executives (AEs) managing the end-to-end sales lifecycle for Kimchi - from market creation and technical validation (POCs and benchmark-driven evaluations) to executive negotiation and deal closure.
Core Responsibilities
Revenue Ownership & Forecasting:
Own and deliver the regional AMER revenue targets for Kimchi, maintaining rigorous accountability for bookings, pipeline growth, and forecast accuracy.
Team Building & Talent Leadership:
Recruit, coach, and retain a high-performing team of Enterprise AEs specialized in selling Kimchi's AI optimization capabilities to enterprise decision-makers.
Sales Methodology & Execution:
Lead strict MEDDIC/MEDDPICC qualification discipline across all stages of the sales cycle, driving value-based deal strategy.
Outbound Pipeline Generation:
Drive proactive outbound strategies in partnership with SDR, Growth, and Product teams to build a robust Kimchi pipeline across engineering-led enterprise accounts.
Executive Deal Sponsorship:
Act as the executive sponsor on complex, multi-stakeholder enterprise deals, participating in high-impact customer calls and steering commercial negotiations.
Customer & Buyer Alignment:
Foster deep executive relationships with technical, security, and financial leaders (CTOs, CIOs, CISOs, Heads of Engineering, Platform Engineering leads, and CFOs).
Cross-Functional Collaboration:
Collaborate closely with Kimchi Product Engineering, Solutions Architecture, and Customer Success teams to ensure seamless customer onboarding and maximum ROI.
Go-To-Market Strategy:
Shape regional territory strategy, account targeting, and AI-focused vertical playbooks to expand Kimchi's market share across the Americas.
Role Requirements & Qualifications
Sales Leadership Experience:
5+ years of frontline sales leadership managing Enterprise AEs in B2B SaaS or AI infrastructure, with a proven track record of consistently exceeding regional revenue targets.
Domain Expertise:
Deep domain knowledge in AI/ML infrastructure, AI coding or developer platforms, LLM cost optimization, or FinOps, selling directly to technical leaders (CTOs, Heads of Engineering, Platform Engineering leads).
Methodology & Operations:
Expert execution of MEDDPICC/MEDDIC frameworks, with strong discipline in pipeline hygiene, deal qualification, and revenue forecasting.
Scale-Up Acumen:
Proven agility in high-growth, category-defining AI environments, with the capability to define sales playbooks from scratch.
AI Product Go-To-Market Track Record:
Demonstrated success launching and scaling novel AI software products, converting technical engagement and PLG usage into enterprise-wide deployments.
Benefits & Total Rewards
Work Flexibility:
Flexible, remote-first global operating environment.
Equity Compensation:
Meaningful equity options in a hyper-growth enterprise AI automation company.
Professional Development:
Dedicated learning and development budget, including sponsored access to leading industry conferences and specialized courses.
Team & Culture:
Team-building budgets and international company offsites and events.
Home Office Setup:
Dedicated hardware and equipment budget to ensure optimal productivity.
Work-Life Balance:
Additional paid days off and flexible time-off policies.
Canada
United States
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