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: Remote - Sydney, Australia
Workplace: Remote
ABOUT US:
Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: .
ABOUT YOU:
You are excited to join a growing team focused on demonstrating ownership of our clients’ experience from onboarding through renewal and expansion. You will work closely with members of the Customer Success team, Sales team, and other internal Constructor teams to support and grow your book of business. You are an advocate for your customer and work with internal teams to provide feedback to Product, create advocacy opportunities for Marketing, and visibility into use cases and customer health for the organization. You demonstrate a high degree of accountability and ownership.
RESPONSIBILITIES:
- You are the strategic lead for the clients in your book of business.
- You will build strong relationships with your clients in order to understand their business goals, business needs, the priorities of these goals and needs, and how Constructor maps to these goals and needs.
- You will manage complex, enterprise renewal and upsell cycles from start to finish – effectively demonstrating the product and the business and economic benefits to each stakeholder (from business champion to the C-Suite level).
- You will uncover and manage risk within your book of business in a timely and effective manner.
- You will grow to be well versed on your clients’ business needs and the Constructor product in order to educate clients on potential new use cases, features and integrations that create added value and uncover potential upsell opportunities.
- You will regularly update internal systems and attend internal meetings in order to document and communicate customer status, needs, risk, renewal next steps, and upsell next steps.
REQUIREMENTS
- 3+ years of Account Management experience within a SaaS company (ecommerce focus strongly preferred).
- Proven success managing enterprise renewal and expansion cycles.
- Track record of meeting or exceeding retention and growth targets.
- Executive presence and ability to influence VP+ and C-level stakeholders.
- Strong understanding of ecommerce KPIs (conversion rate, AOV, revenue, profit, merchandising metrics).
- Ability to analyze and present data related to ecommerce performance, A/B testing, and conversion optimization.
- Exceptional organizational skills and ability to manage multiple complex accounts simultaneously.
- Experience leading cross-functional initiatives without direct authority.
A plus if you have:
- Experience in Search & Browse technologies, Digital Analytics, or Digital Performance Management platforms.
- Deep analytical fluency in ecommerce experimentation and performance data.
- Previous experience working with Constructor or Constructor customers
BENEFITS
- 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year
- 💰 A competitive compensation package including stock options
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Parental leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: US - United States
Scopely is looking for a
Live Ops Manager
to join our
MARVEL Strike Force
team in the US and Canada on a remote basis or Mexico City on a hybrid basis.
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
MARVEL Strike Force
is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.
What You Will Do
You will be the operational bridge between Live Ops strategy and high-quality in-game execution. You will gather requirements from the events and monetization teams, translate them into executable plans and configurable designs, and manage work across our Live Ops implementation partner. The role is accountable not only for accurate configuration, but also for ensuring that offers, events, milestones, and rewards remain complementary to the broader strategy and value proposition.
Translate Strategy into Execution:
Turn high-level designs for offers, events, milestones, rewards, and other Live Ops components into clear Jira tickets, configuration specifications, acceptance criteria, and implementation plans
Manage the Implementation Partner:
Prioritize, delegate, and track work across our Live Ops implementation partner, ensuring that owners, dependencies, timing, and escalation paths are clear
Own Execution Readiness:
Maintain a reliable view of upcoming launches, confirm that requirements and assets are complete, and drive issues to resolution before they create player-facing or business risk
Provide Strategic and Value Quality Assurance:
Review configured content for technical accuracy, player value, internal consistency, and alignment with the intended engagement and monetization strategy
Coordinate Across Live Ops:
Gather direction from events and monetization product managers, resolve conflicts across overlapping workstreams, and ensure that individual components reinforce the overall monthly plan
Improve Operating Systems:
Create and refine templates, checklists, documentation, and repeatable workflows that increase implementation speed, reduce errors, and make execution easier to scale
Use Data to Inform Delivery:
Use performance data and player segmentation to understand the intent behind requirements, validate implementation choices, and support post-launch reviews
Accelerate Through Artificial Intelligence:
Use artificial intelligence tools, including Codex and ChatGPT, to develop requirements, analyze data, create documentation, identify inconsistencies, and improve execution quality
What We're Looking For
3+ years experience in live operations, product operations, production, product management, or a comparable execution-focused role in mobile or free-to-play games
A high-ownership, hardworking operating style and a strong desire to grow a career in mobile game product management
Exceptional organization, follow-through, and attention to detail across multiple concurrent deadlines and workstreams
Experience translating ambiguous or high-level direction into precise tickets, requirements, and acceptance criteria; familiarity with Jira is strongly preferred
The judgment to evaluate both configuration accuracy and whether an implementation supports the intended player and business outcomes
Comfort managing external partners or distributed implementation teams through clear delegation, prioritization, feedback, and escalation
Strong analytical skills and comfort using data to inform events and monetization requirements; Structured Query Language (SQL) proficiency is preferred
Demonstrated comfort using artificial intelligence tools to accelerate analysis, documentation, quality assurance, and workflow improvement
Clear written and verbal communication with product, economy, analytics, production, and implementation partners
Bonus Points
Hands-on experience with SQL, BigQuery, Looker, or comparable analytics tools
Experience designing milestone systems, event rewards, or progression-based monetization in a role-playing game or Hero Collector
A deep understanding of the Marvel intellectual property and its player community
Please ensure that the résumé/CV you attach is written in English.
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range
$91,300
—
$140,000 USD
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
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: 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: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Eastern or Central Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery
- Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit
- Partner with our engineering team to document and reproduce bugs
- Surface trends and insights from customer feedback to the team at large to inform product choices
- Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations
What we're looking for
- Passion about technology, quality, and Linear’s mission
- Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users.
- Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile).
- Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role.
- Based in U.S. or Canada Eastern or Central Time only.
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable 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: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking an experienced
Director of Sales Engineering
to build and lead Mattermost's global technical presales team.
Are you a technical presales leader who has built a team that wins the technical decision, and wants to do it for customers who protect national security and critical infrastructure? Do you want to own how a global team of Sales Engineers demonstrates, evaluates, and proves a platform that runs where other collaboration tools cannot, from classified networks to the tactical edge? Look no further.
As the Director of Sales Engineering at Mattermost, you will lead our technical presales engineers. You will set the standard for how we demo, scope, and prove the platform; coach each SE to win the technical evaluation; and be the voice of the field to Product and Engineering. You will partner with regional sales leaders on every strategic pursuit and report to the CRO. Your focus is the technical sale, and your team's work is the reason customers trust us with their most sensitive workflows.
We have a role for you if:
You have built or taken over a Sales Engineering team, assessed the people and the process, and raised the technical bar within your first two quarters.
You have led SEs through complex, multi-stakeholder technical evaluations in security-sensitive or regulated environments, and you know when to run a proof of concept and when to walk away from one.
You have deployed or architected self-hosted, on-premises, or air-gapped software, and you can talk credibly with a CISO, a systems architect, and a program office in the same week.
You have stood up a repeatable demo and discovery motion so that every SE tells the same story and every customer sees the same quality, regardless of region.
You have coached SEs one-on-one on their weakest skill, whether that is discovery, architecture, objection handling, or executive presence, and you can show their win rates moved.
You have been the trusted partner to Sales leaders, joining the deal strategy early and giving an honest read on technical fit, risk, and the odds of winning.
You have taken field feedback to Product and Engineering and changed the roadmap, with evidence from real deals rather than anecdotes.
You have managed a distributed team across time zones and kept it connected, current on the product, and accountable to clear measures.
What you will get to do on our team:
Lead and develop the global team of technical presales engineers, setting expectations, running coaching, and making the hiring, promotion, and performance calls.
Define and own how we demonstrate Mattermost: standard demos, reference architectures, discovery guides, and proof-of-concept playbooks for defense, intelligence, and critical infrastructure buyers.
Pair with regional sales leaders to assign SE coverage, join strategic pursuits, and shape technical strategy on the deals that matter most.
Keep SEs current on the product by working with Product and Engineering on release readiness, technical certification, and hands-on learning.
Bring the voice of the customer and the field back to Product, Engineering, and Security: what blocks deals, what wins them, and what competitors are doing technically.
Measure the team on technical win rate, proof-of-concept outcomes, certification, and SE productivity, and report on it regularly to the CRO.
What you will achieve:
Within 30 days
You have met every SE, the regional sales leaders, and the Product and Engineering counterparts you will depend on. You have joined live customer calls and active evaluations, and you know where demos are inconsistent, where SEs are stretched, and which deals are at technical risk. You have a clear read on each person's strengths and gaps.
Within 60 days
You have a written view of the team's current state and a plan to close the gaps. A standard demo flow and discovery guide are in use on every new opportunity. SE coverage is aligned with regional sales leaders, and you are in the room on the strategic pursuits. Every SE has a development plan and a coaching cadence with you.
By 90 days
Proof-of-concept scoping and exit criteria are documented and applied on every evaluation. Product readiness and certification expectations are set with Product and Engineering, and SEs are on track to complete them. You are reporting technical win rate, proof-of-concept outcomes, and certification status to the CRO on a regular cadence.
By the end of year one
Technical win rate and proof-of-concept conversion are up against the baseline you set in your first 90 days with the CRO. The team is fully certified on the current product, any open SE roles are filled with people who ramp on schedule, and Product has acted on the defined number of field-sourced improvements. Regional sales leaders ask for your SEs by name.
To be successful in this role, you will need:
Experience leading a team of technical presales or solutions engineers, including hiring, coaching, and performance management.
Hands-on fluency with enterprise deployment of self-hosted or on-premises software, including security, identity, and integration requirements.
Experience running technical evaluations and proofs of concept for enterprise or public-sector buyers.
Executive-level communication, with credibility in front of CISOs, architects, and senior sales leaders.
Comfort working remotely with a globally distributed team.
Nice to have:
Background in defense, intelligence, or critical infrastructure, including familiarity with government procurement cycles, security clearance considerations, or CMMC and FedRAMP contexts.
Experience selling or supporting Mattermost, Slack, Microsoft Teams, or other enterprise collaboration platforms.
Familiarity with Salesforce, Gong, or similar tools for tracking technical activity and win rates.
Experience building AI-assisted workflows that make SEs faster, such as demo preparation, RFP responses, or discovery notes.
Why Mattermost
Mattermost is uniquely positioned at the intersection of secure collaboration, mission software, and intelligence community modernization. Our platform is built for the environments where security is not a feature — it is the foundation. This role offers the opportunity to shape and scale Mattermost's presence within one of the most strategically important and security-sensitive markets in the world.
If you thrive in complex, classified environments, understand how mission outcomes drive technology adoption, and want to sell software that protects the nation's most sensitive operations — we would love to hear from you.
Target Salary Range:
$195,000 – $235,000 USD, plus commission
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information, visit
Security Clearances, United States Department of State
.
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information, visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
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: 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, Texas
About the role
Our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources across Marketing, Developer Relations, Growth Programs, and Sales.
Within Developer GTM, the Revenue Engineering team exists to build and evolve GTM infrastructure to support Cloudflare’s transition into a major cloud provider and drive Cloudflare’s AI transformation. We operate across data platform development, application platforms, core pipeline evolution, and novel internal product delivery enabling teams across the organization to move fast without accumulating unmaintainable technical debt.
What You'll Do
As a hands-on "player-coach" Engineering Manager on the Revenue Engineering team, you will balance technical leadership with direct execution, actively writing code, building pipelines, prototyping novel GTM applications, and debugging alongside your team. You will lead, coach, and grow a team of high-performing software and data engineers building mission-critical GTM software, data platforms, and internal developer tools on top of Cloudflare's own developer platform (Workers, Kubernetes, Go, TypeScript, SQL, and MCP). You will take ownership of our core platform strategy, balancing fast-paced feature delivery with platform maintainability, data integrity, and operational excellence.
In this role, you will:
Lead and Grow Engineering Talent (Player-Coach Model):
Recruit, mentor, and develop a diverse team of talented software and data engineers while leading by example through active code contributions, hands-on technical guidance, and unblocking engineers directly in the codebase.
Architect & Build Platform Primitives:
Set the technical vision and actively write code for our GTM Data Platform, App Platform, and Model Context Protocol (MCP) integrations in Go and TypeScript, enabling internal teams to build and scale maintainable solutions.
Prototype & Deliver High-Impact Applications:
Directly build and prototype novel GTM applications (Signals, Customer Health, Cost Explorer), evolve core pipelines (Salesforce enrichment, customer contact ingestion, real-time consumption billing visibility), and implement data infrastructure migrations.
Empower & Advise Business Builders:
Act as a technical advisor and partner to non-technical teams, teaching them to self-serve using supported platform primitives rather than creating isolated, unmaintainable silos.
Drive Operational & Engineering Excellence:
Establish best practices for service observability, testing, schema evolution, and deployment while mitigating bus-factor risks and single points of failure across legacy and new systems.
Cross-Functional Collaboration:
Partner closely with leaders across Sales, Marketing, Developer Relations, BI, Security, and Product to align on business priorities, unblock dependencies, and turn complex business challenges into reliable software solutions.
Examples of Desirable Skills, Knowledge, and Experience
Hands-on Experience:
Minimum 8 years of relevant software engineering experience, including at least 3 years in a formal engineering management or technical leadership role with a strong track record of remaining hands-on in the code.
Technical Depth & Contribution:
Strong background writing production code and debugging distributed systems, data pipelines, and web APIs across Go, TypeScript, Workers, Kubernetes, SQL, and MCP.
Leadership & Team Building:
Proven track record of recruiting, coaching, and developing senior technical talent while fostering an inclusive, high-trust engineering culture.
Platform & Systems Ownership:
Experience owning end-to-end service lifecycles, operational monitoring, incident management, and architectural strategy for complex internal or external platforms.
Pragmatic Business Execution:
Ability to navigate ambiguous problem spaces, balance rapid prototyping ("learning mode") with scalable platform architecture ("scale mode"), and translate business needs into robust technical roadmaps.
Cross-Functional Communication:
Exceptional collaboration skills with a track record of partnering effectively with non-technical business partners, GTM stakeholders, and executive leadership.
Bonus Points
Cloudflare Developer Platform:
Experience building on or integrating with Cloudflare Workers, edge computing platforms, or serverless architectures.
GTM & Growth Systems:
Background in SaaS, Product-Led Growth (PLG) motions, sales analytics, or working with CRM/marketing automation integrations (Salesforce, Marketo).
Applied AI & MCP:
Hands-on experience developing Model Context Protocol (MCP) servers, LLM/AI integrations, or AI-driven developer workflow automation.
Data Platform Scale:
Experience with modern columnar databases / lakehouses (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg) or analytics engineering workflows.
Compensation
Compensation may be adjusted depending on work location.
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: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're hiring a Vice President to own and lead our EMEA business. You'll inherit a team of 20+ quota-carrying Commercial and Enterprise AE's across four hubs: London, Amsterdam, Munich, Stockholm and be responsible for building the management layer, operating model and partner ecosystem that takes the EMEA region from early traction to consistent, scaled revenue.
This is a second-line leader role that will see you report directly to the Global Vice President of Sales and operate with meaningful autonomy across pipeline, hiring, partner relationships and executive engagement.
WHAT YOU'LL OWN
Team leadership and performance
- Lead, develop and expand the Sales teams across EMEA from day one
- Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency
- Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles
- Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales
Revenue
- Own the EMEA number: quarterly and annual quota attainment across all sub-regions
- Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to leadership
- Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations
- Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in EMEA
Hiring
- Manage multiple open roles across EMEA simultaneously: owning the full hiring lifecycle across pipeline, assessment and closing
- Partner with the internal talent team to move at pace without compromising on quality
- Define the headcount profile for EMEA beyond Q4 and feed into H1 planning, ensuring the team is built ahead of the revenue curve
Partner ecosystem
- Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across EMEA
- Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion
- Represent LangChain at partner QBRs and executive engagements in region
Market presence
- Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs
- Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts
- Bring intelligence on the EMEA markets back to the Global VP of Sales and product teams to inform roadmap and go-to-market positioning
WHAT WE'RE LOOKING FOR
Experience
- 10+ years in enterprise SaaS sales, with at least 5+ years in a regional or sub-regional leadership role managing quota-carrying AE's
- Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters
- Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across EMEA
- Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted
- Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus
Leadership
- You've run teams of 20+ AEs before and know the difference between managing and coaching
- You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon and add value in both
- You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously
- You've built or contributed to a partner motion before: you understand what "partner pipeline" means in practice, not just in theory
Operating style
- You bias toward action. You don't wait for a playbook to be handed to you: you build it
- You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it
- You communicate clearly and directly, to your team and to leadership
- You're present in the market. You attend the right events, know the right people and build relationships that translate into pipeline and retention
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Guatemala City
Workplace: hybrid
About the Role
We are looking for a bilingual Social Media & Design Specialist to support our nationwide field sales force. Our representatives sell industry-leading solutions—including NRS Point of Sale, merchant processing, business funding, and BOSS Revolution services—to small and mid-sized businesses across the United States.
In this role, you will serve as the dedicated creative resource for our sales team, transforming their local social media presence into a consistent driver of merchant leads.
Key Context:
This is a hands-on execution role rather than a high-level strategy position. Strategic priorities, brand guidelines, and target audiences are already established. We need an agile content creator who can independently design high-quality visual assets, produce short-form video, and maintain an active social media cadence in direct coordination with sales leadership and top-performing representatives.
Requirements
What We Are Looking For (Must-Haves):
Fully Bilingual (English & Spanish):
Non-negotiable, as you will interact directly with our bilingual sales representatives and their clients.
Strong Design Portfolio:
We hire based on proven skill rather than job titles. Your portfolio should showcase engaging, professional social media content and brand assets.
Hands-On Graphic & Video Creation:
Proficiency in Canva, Adobe Creative Suite, or similar design software, with the ability to produce polished visuals and short-form video content.
Social Media Expertise:
Proven track record managing and growing Instagram, Facebook, and WhatsApp Business—with a focus on local/SMB promotion rather than generic posting.
Autonomous & Highly Organized:
Capable of balancing competing priorities, managing multiple reps' requests, and delivering consistent, high-quality output under minimal supervision.
Empathetic Communicator:
Comfortable and patient coaching non-tech-savvy team members on adopting digital tools and content best practices.
Nice-to-Haves:
Basic Web & Landing Page Building:
Hands-on experience with platforms such as Wix, Squarespace, or WordPress.
Digital Marketing & Lead Generation:
Familiarity with paid social ad setup or organic lead-gen funnels.
Industry Familiarity:
Knowledge of POS (Point of Sale), merchant services, payment processing, or the retail/small-business landscape.
Advanced Video Editing:
Experience crafting high-retention Reels, TikToks, and short-form storytelling.
We Offer:
Competitive salary
Bonuses
A great and positive workplace
Parking Subsidy
Life and Medical Insurance
Benefits and Discounts
Growth opportunities
Benefits by law (Bono 14, Aguinaldo, IGSS, IRTRA, Vacations)
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: Montreal
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education.
The Role:
We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat.
Key Responsibilities:
Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues.
Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality.
Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards.
Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap.
Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops.
Required Qualifications:
Strong customer-facing communication skills and a "white-glove" support mentality.
Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations.
Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus
Strong context of internal firm culture, user base, and existing support channels.
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#LI-VD1
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.
УдалённоRemote - Sydney, Australia
US - United States; For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below
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УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоRemote (US); San Francisco, CA; New York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
УдалённоСША; This role is open to candidates based within U.S; You can work from anywhere within those time zones
United States - Remote
УдалённоYou communicate clearly in writing, take ownership, and work well with people across different disciplines and time zones
United States; You have managed a distributed team across time zones and kept it connected, current on the product, and accountable to clear measures; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
Munich, Germany
География найма не уточнена
ОфисLondon; Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across EMEA
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