Location: Hybrid - New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
We're looking for a leader to build and grow the Startups Activations team. This team is the voice of Vercel to the earliest-stage startups, helping founders make great infrastructure decisions from day one and land on Vercel before they ever need to migrate.
You'll hire and develop up-and-coming talent from a wide range of backgrounds, including former founders, developers, and early-career sellers, and turn them into trusted advisors for technical founders. You'll build the machine: a high-velocity, repeatable motion that uses AI, automation, and product signals to reach thousands of early startups at the right moment. You'll set the operating rhythm, coach relentlessly, and turn what works into playbooks the rest of the Startups org can scale.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What You Will Do:
Hire & Grow Talent
: Recruit, onboard, and ramp a diverse team of former founders, developers, and early-career sellers. Build a bench that grows into future AEs and leaders across Vercel.
Coach & Develop
: Run 1:1s, call reviews, and skill-building sessions that turn new sellers into credible, technical advisors for founders.
Build the Activation Machine
: Design a high-velocity motion that combines outbound, product-led signals, community, and ecosystem partners (accelerators, VCs, AI tooling) to get early startups deployed on Vercel.
Be the Voice of Vercel to Startups
: Make sure every early founder understands how Vercel's platform and Agent Stack help them build, ship, and scale, and why starting here is the right infra decision.
AI, Automation & Playbooks
: Use AI and automation to multiply team impact, spot patterns in usage and signups, and turn winning plays into repeatable motions.
Pipeline & Execution
: Own activation, conversion, and bookings targets. Define the leading indicators that predict long-term customer growth and hold the team to them.
Forecasting & Performance Management
: Inspect pipeline health, own forecast accuracy, and manage performance against activity, conversion, and quota.
Cross-Functional Collaboration
: Partner with Marketing, Product, Growth, RevOps, Solutions Engineering, and the Greenfield and Install Base teams to make handoffs seamless as startups scale.
About You:
5+ years of experience in SaaS sales or startup go-to-market, including 2+ years managing quota-carrying sellers.
A track record of hiring and developing early-career talent and people from non-traditional backgrounds into top performers.
Experience building or running a high-velocity sales motion with volume, speed, and discipline.
Comfort talking with technical founders about architecture and tradeoffs. You don't need to be an engineer, but you need credibility with engineers.
Real curiosity about AI-native development and the tools shaping how startups build and ship.
A builder's mindset: you like creating systems, not just running them, and you balance strategy with hands-on execution.
A growth mindset, resilience, and strong shared ownership.
Bonus If You:
Have been a founder, early-stage operator, or developer.
Have built a team or motion from zero inside a high-growth company.
Have experience with startup ecosystems: accelerators, VCs, founder communities, or developer communities.
Have sold developer tools, infrastructure, or AI products to startups.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $280,000 - $330,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: 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
A Software Developer (Market Setup) takes a trading venue from a signed agreement to the first live trade on our platform, then makes the next venue happen sooner.
What You Own: one venue, stage by stage:
Scoping. Read the venue's specifications; list what the platform has and what is missing; estimate the setup.Scoping.
Connectivity. Design it with infra: colocation or proxy, lines, addresses, multicast groups, firewall rules, failover.
Protocol adaptation. Adapt our market data and order entry connectors to the venue's binary protocol: SBE, FAST, ITCH and OUCH, Eurex ETI and EOBI, LSE native, or the custom binary protocol a venue publishes for itself; sessions, recovery, throttles, reject handling.
Product and risk parameters feed. Pull the venue's raw product definitions and risk parameters, margin rates, price limits, lot and tick tables, position limits, in whatever form they are published, and deliver them complete to the team that normalizes them; you are their source on what the venue's fields mean.
Historical data. Convert the venue's archives and captured feeds into our format at volume; validate against live captures.
Latency tuning. Measure the path with hardware timestamps against the venue's figures and the strategies' budget; tune host placement, NIC and kernel bypass settings, pinning, the connector's hot path, gateway choice; record the baseline for ops.
Certification. Pass the venue's conformance tests and ours: replay, soak, order-flow scenarios, failover.
Operations preparation. Write the operating instructions for the desk and ops: sessions and timings, limits, start and stop, failure modes and what to do in each, who to call at the venue. Walk the desk through the first day before it happens.
Go-live. First live trade, hypercare, handover.
What This Role Is Not:
Not the core engine: the engine developers in the same team own it; you adapt and assemble.
Not configuration: a venue needs code, in C++ and Python; an LLM writes much of it, you specify, review and test all of it.
Not normalization: another team maps the venue's products and risk parameters onto our model; you deliver the raw feed they map from.
Not 24/7 operations: the desk and ops run the venue after handover; you write what they run.
Not strategy work: researchers decide what and how to trade; you make the venue tradable.
What We Look For In You:
Solid understanding of data structures, algorithms, and object-oriented programming in C++
Understanding of Linux system internals
Decent level of written and spoken English to work in an international environment
Performs well in a remote/hybrid team with variable, project-based responsibilities
Nice-to-have:
In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency.
LockFree containers and thinking pattern
C programming knowledge (written drivers for Linux system, worked with the core etc.)
Why Should You Join Our Team?
Full focus on results with no bureaucracy
Great challenges with fast feedback loops
A welcoming group of highly qualified international professionals
Cutting-edge hardware and technology
Work remotely from anywhere in the world
Access any of our global offices anytime
Flexible schedule
40 paid days off
Competitive salary
Location: Canada
What the Role Is
We’re hiring a
Staff Software Engineer
who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.
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 search and personalization problems in consumer e-commerce.
This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.
If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.
What You'll Own
A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.
A few examples of initiatives you’d drive on the Search team:
Build search in-house.
Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is.
Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show.
One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together.
Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational.
Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.
Like every Staff Engineer here, you will:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones
Who You Are
You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck.
On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:
Hands-on search experience:
building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality:
offline and online, including relevance judgments and A/B tests.
A focus on the user:
you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero:
you can define the problem, design the system and own it end to end.
You measure yourself by impact:
a customer outcome, or a system a dozen teams come to depend on.
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 an RRSP 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.
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: London Office; United Kingdom
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to build one of n8n’s most predictable Enterprise sales teams. You’ll develop high-performing Enterprise AEs, instill forecast and pipeline discipline, and create a repeatable operating model that wins complex, multi-stakeholder deals.
To make that happen, you’ll be hands-on in coaching, deal inspection, and team development day-to-day, while staying close enough to strategic deals and customer executives to raise the bar on how we qualify, forecast, and win:
DEVELOPING A HIGH-PERFORMING, PREDICTABLE TEAM
- Coach and develop a team of Enterprise AEs through structured 1:1s, field coaching, and deal reviews, raising both the floor and the ceiling on individual performance.
- Build a rigorous forecasting and pipeline management cadence that makes your numbers predictable quarter over quarter, not dependent on late-quarter heroics.
- Create a repeatable operating model with clear playbooks, MEDDIC/MEDDPICC-based deal inspection, and coaching rhythms, so execution doesn’t rely on you personally driving every strategic deal.
- Hire, onboard, and scale the team quickly, establishing career paths and succession plans as we grow.
SETTING THE STRATEGY FOR YOUR TERRITORY
- Prioritize and run your Enterprise territory with focus, balancing new logo pursuits with expansion plays where community signals are strong.
- Set the strategy for the team’s most complex enterprise cycles, from discovery to close, staying close enough to coach without taking the pen.
- Elevate sales methodology adoption (MEDDIC/MEDDPICC), ensuring meticulous qualification, mutual action plans, and disciplined inspection of technical and business wins.
BUILDING A STRATEGIC, MULTI-THREADED SELLING MOTION
- Build a strategic selling culture that shifts the team from “running opportunities” to multi-threaded, value-led enterprise execution.
- Orchestrate executive engagement across your accounts, aligning economic buyers, champions, and technical evaluators to keep momentum and unblock deals.
- Run high-quality deal reviews and QBRs that sharpen strategy, elevate coaching moments, and improve win rates, cycle time, and forecast accuracy.
PARTNERING ACROSS THE BUSINESS
- Collaborate cross-functionally with Solutions Engineering, Customer Success, Marketing, RevOps, and Product to refine messaging for technical buyers, strengthen the enterprise playbook, and remove friction in the sales process.
REQUIREMENTS
Must-haves
- 🏆 Enterprise sales leadership: You have 5+ years in frontline sales management, leading ICs through complex, multi-threaded enterprise deals.
- 🔎 MEDDIC/MEDDPICC mastery: You have deep, practical command of MEDDIC/MEDDPICC and a track record of coaching teams to adopt it with real inspection.
- 📈 Forecast & pipeline rigor: You’ve run a disciplined forecasting and pipeline management cadence that makes revenue predictable, not reactive.
- 🧠 Strategic deal management: You’re fluent in qualification, mutual action plans, champion building, and executive alignment in longer-cycle deals.
- 🎙️ Executive presence: You confidently engage senior stakeholders, run tight meetings, and set a high bar for clarity, urgency, and outcomes.
- 🧑🏫 Coaching & talent development: You level up AEs through structured coaching, field observation, and actionable feedback.
- 🧩 Multi-stakeholder navigation: You’re skilled at aligning technical and economic buyers, de-escalating conflict, and maintaining deal momentum.
- 🇬🇧 UK location: You’re based in the UK and happy being on-site with customers once per week on average
- 🇬🇧 English: You’re a native or bilingual speaker of English.
- 🔧 Technical-buyer credibility: You have experience selling into technical stakeholders and navigating evaluation-heavy sales motions.
- 🖥️ Open-source / PLG experience: You understand how community and bottoms-up adoption influence enterprise outcomes and how to partner with that motion.
Nice-to-haves
- Additional languages: You're fluent in French or Spanish.
- 🌉 Developer / infra SaaS background: You’ve worked in DevOps, SecOps, IT Ops, data, infrastructure, or adjacent categories.
- 💡 Scrappy startup mindset: You’ve scaled in environments where playbooks are evolving, and you enjoy building structure without slowing teams down.
- 📊 Operational excellence: You have strong instincts for clean forecasting, pipeline hygiene, and turning data into coaching and better execution.
Why join us?
You’ll take a team of Enterprise AEs and turn it into a repeatable engine, in one of the fastest-growing open-source companies in Europe. The playbooks you build and the people you hire will shape how n8n sells to the world’s biggest technical organizations. You’ll work directly with Solutions Engineering, Customer Success, Marketing, RevOps, and Product, so your voice carries well beyond your own team. n8n is a remote-first company with a passionate community of builders, a culture of autonomy and experimentation, and a very high bar for talent. If you want to build something that lasts while the company scales, apply now and help us make n8n the default way enterprises automate.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Europe, Remote
About Zencoder
At
Zencoder.ai
, we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks.
The Opportunity
We’re looking for a hands-on Senior or Staff Security Engineer to lead and own security across the company.
Part of the job is the work every company needs and too few do well: hardened cloud infrastructure, least-privilege access, secure delivery, vulnerability management, penetration testing, and incident response. The threats in this space are increasing exponentially. The other part is an evolving domain with no playbook. Our product runs agents that read untrusted content, execute code, and hold credentials. Attackers now use AI to probe and fuzz faster than before. Prompt injection, data exfiltration through allowed channels, cross-session access, and insecure agent-written code reaching production are real risks for us today, not research topics.
We want someone who will help us close the obvious gaps without being asked, and finds the problems nobody has written down yet.
You'll work closely with our ITOps, platform and product engineers. Teams own their services and platform owns the monorepo pipeline. Your job is to improve our security posture without slowing delivery: build automated controls into existing workflows rather than rely on slow, blocking manual AppSec reviews. You'll test whether those controls hold, address critical risks, and take responsibility for security outcomes, not just recommendations.
Key Responsibilities
This is a hands-on role - you'll be in the code, infra, and pipelines yourself.
Set security priorities and drive fixes through to verified completion;
Find application vulnerabilities through code review, penetration testing and agent-specific red-team exercises;
Work with ITOps, platform and product engineers to harden infrastructure and build security into delivery pipelines;
Build detection for user and agent activity, and lead incident response.
Essential Qualifications
Strong application security background - you can spot exploitable flaws, and explain the fix;
Hands-on penetration testing and offensive security experience across web applications, APIs, and cloud infrastructure;
Solid infrastructure and cloud security fundamentals: IAM, network segmentation, containers and isolation, secrets management, logging;
Experience building detections and running incident response, not only reviewing them;
Real fluency with AI coding agents and LLM-based systems - how they work, where they fail, and how they can be manipulated;
Enough software engineering skill to build your own tooling, automation, and test harnesses;
Sound judgment under pressure: you can weigh a risk against a release, decide, and explain the decision to engineers and founders.
Nice to Have
Experience securing sandboxed or multi-tenant code execution environments;
Red-team, bug bounty, or CTF track record;
Experience with security programs and compliance frameworks (ISO 27001, SOC 2) in a small company.
Why Join Zencoder?
Impact
AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away.
AI-First
We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most.
Ownership
We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration.
High Talent Density
A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles.
Remote-First
We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working.
Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: Cyprus - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution
In this specific role, you will take ownership of the design, implementation, and lifecycle management of our
Network Infrastructure
across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers.
Your Impact:
Keep our infrastructure and company information safe with reliable network security
Keep our services running smoothly and fast for users around the clock
Managing the Wrike product infrastructure
Implementing reliable solutions to ensure a product uptime SLA of 99.9%
Working with GCP, AWS and other cloud providers in the IaC paradigm
Introducing and supporting new infrastructure services
Actively participating in incident response and management, including on-call duties
Developing and maintaining professional connections within and outside of the team
Your Qualifications:
Juniper/Cisco devices underlying network infra
Kubernetes and ArgoCD
Nginx, HAproxy and Istio for load balancing
GCP, AWS and Cloudflare are our main cloud providers
Puppet, Ansible and Terraform for defining everything as a code
Python to automate everything
Prometheus (VictoriaMetrics) and Zabbix for monitoring
Graylog, Logstash, Fluentd for logging
Jenkins and Gitlab-CI for building pipelines
Upper Intermediate English skills
Standout Qualities:
Experience with working with enterprise-grade infrastructure and SaaS solutions
Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment
Experience working with BGP, OSPF, EVPN, STP, IPsec protocols
Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive
Understanding of information security principles and the ability to apply them to network architecture
Sufficient scripting skills in Python/Bash or other scripting languages
Strong analytical abilities and problem-solving skills
Team Dynamics:
Your manager will be Dmitrii Vlasov, SysOps Team Lead
We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn
Our Work Style:
Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
Hybrid mode (1-2 days per week)
On-call shifts in production and development environments
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Czech Republic - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution
In this specific role, you will take ownership of the design, implementation, and lifecycle management of our
Network Infrastructure
across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers.
Your Impact:
Keep our infrastructure and company information safe with reliable network security
Keep our services running smoothly and fast for users around the clock
Managing the Wrike product infrastructure
Implementing reliable solutions to ensure a product uptime SLA of 99.9%
Working with GCP, AWS and other cloud providers in the IaC paradigm
Introducing and supporting new infrastructure services
Actively participating in incident response and management, including on-call duties
Developing and maintaining professional connections within and outside of the team
Your Qualifications:
Juniper/Cisco devices underlying network infra
Kubernetes and ArgoCD
Nginx, HAproxy and Istio for load balancing
GCP, AWS and Cloudflare are our main cloud providers
Puppet, Ansible and Terraform for defining everything as a code
Python to automate everything
Prometheus (VictoriaMetrics) and Zabbix for monitoring
Graylog, Logstash, Fluentd for logging
Jenkins and Gitlab-CI for building pipelines
Upper Intermediate English skills
Standout Qualities:
Experience with working with enterprise-grade infrastructure and SaaS solutions
Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment
Experience working with BGP, OSPF, EVPN, STP, IPsec protocols
Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive
Understanding of information security principles and the ability to apply them to network architecture
Sufficient scripting skills in Python/Bash or other scripting languages
Strong analytical abilities and problem-solving skills
Team Dynamics:
Your manager will be Dmitrii Vlasov, SysOps Team Lead
We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn
Our Work Style:
Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
Hybrid mode (1-2 days per week)
On-call shifts in production and development environments
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Benefits & Perks:
25 calendar days of paid vacation
Sick Leave Compensation (5 Paid Uncertified Sick Days)
Parental Leave: 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Prague
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution
In this specific role, you will take ownership of the design, implementation, and lifecycle management of our
Network Infrastructure
across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers.
Your Impact:
Keep our infrastructure and company information safe with reliable network security
Keep our services running smoothly and fast for users around the clock
Managing the Wrike product infrastructure
Implementing reliable solutions to ensure a product uptime SLA of 99.9%
Working with GCP, AWS and other cloud providers in the IaC paradigm
Introducing and supporting new infrastructure services
Actively participating in incident response and management, including on-call duties
Developing and maintaining professional connections within and outside of the team
Your Qualifications:
Juniper/Cisco devices underlying network infra
Kubernetes and ArgoCD
Nginx, HAproxy and Istio for load balancing
GCP, AWS and Cloudflare are our main cloud providers
Puppet, Ansible and Terraform for defining everything as a code
Python to automate everything
Prometheus (VictoriaMetrics) and Zabbix for monitoring
Graylog, Logstash, Fluentd for logging
Jenkins and Gitlab-CI for building pipelines
Upper Intermediate English skills
Standout Qualities:
Experience with working with enterprise-grade infrastructure and SaaS solutions
Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment
Experience working with BGP, OSPF, EVPN, STP, IPsec protocols
Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive
Understanding of information security principles and the ability to apply them to network architecture
Sufficient scripting skills in Python/Bash or other scripting languages
Strong analytical abilities and problem-solving skills
Team Dynamics:
Your manager will be Dmitrii Vlasov, SysOps Team Lead
We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn
Our Work Style:
Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
Hybrid mode (1-2 days per week)
On-call shifts in production and development environments
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Benefits & Perks:
25 calendar days of paid vacation
Sick Leave Compensation (5 Paid Uncertified Sick Days)
Parental Leave: 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Nicosia
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution
In this specific role, you will take ownership of the design, implementation, and lifecycle management of our
Network Infrastructure
across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers.
Your Impact:
Keep our infrastructure and company information safe with reliable network security
Keep our services running smoothly and fast for users around the clock
Managing the Wrike product infrastructure
Implementing reliable solutions to ensure a product uptime SLA of 99.9%
Working with GCP, AWS and other cloud providers in the IaC paradigm
Introducing and supporting new infrastructure services
Actively participating in incident response and management, including on-call duties
Developing and maintaining professional connections within and outside of the team
Your Qualifications:
Juniper/Cisco devices underlying network infra
Kubernetes and ArgoCD
Nginx, HAproxy and Istio for load balancing
GCP, AWS and Cloudflare are our main cloud providers
Puppet, Ansible and Terraform for defining everything as a code
Python to automate everything
Prometheus (VictoriaMetrics) and Zabbix for monitoring
Graylog, Logstash, Fluentd for logging
Jenkins and Gitlab-CI for building pipelines
Upper Intermediate English skills
Standout Qualities:
Experience with working with enterprise-grade infrastructure and SaaS solutions
Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment
Experience working with BGP, OSPF, EVPN, STP, IPsec protocols
Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive
Understanding of information security principles and the ability to apply them to network architecture
Sufficient scripting skills in Python/Bash or other scripting languages
Strong analytical abilities and problem-solving skills
Team Dynamics:
Your manager will be Dmitrii Vlasov, SysOps Team Lead
We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn
Our Work Style:
Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
Hybrid mode (1-2 days per week)
On-call shifts in production and development environments
What’s Next?
Introduction Call with a Recruiter
Technical interview
Cultural interview
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Москва
Workplace: Офис
Мы проектируем, разрабатываем и эксплуатируем системы, обеспечивающие бесперебойную передачу трафика между всеми пользователями и всеми сервисами Яндекса. Приходите проектировать и реализовывать надёжные системы на стыке бэкенда, сетей и распределённых систем.
Мы проектируем, разрабатываем и эксплуатируем системы, обеспечивающие бесперебойную передачу трафика между всеми пользователями и всеми сервисами Яндекса. Нагрузка на наши системы высока и постоянно увеличивается, а требования к надёжности таковы, что дальше им расти уже некуда. При этом непрерывное развитие сервисов Яндекса не позволяет нам скучать — оно постоянно приносит новые, зачастую неожиданные требования к системам управления балансировкой трафика.
Обязанности
Проектирование нового core-infra-сервиса
Проектирование архитектуры нового сервиса управления конфигурациями балансировки нагрузки для всего Яндекса.
Разработка core-логики сервиса балансировки
Реализация этого сервиса в коде на Go, а также задачи по опенсорс-разработке этого сервиса.
Перенос нагрузки без даунтайма
Бесшовный перенос нагрузки с текущего сервиса на новый.
Эксплуатация и развитие core-сервиса балансировки
Поддержка и ad-hoc-разработка на Python в текущем сервисе управления конфигурациями балансировки.
Больше о том, как мы делаем внутреннюю инфраструктуру Яндекса, — в канале
Yandex Infrastructure
Требования
* Пишете надёжный, высокопроизводительный код
* На экспертном уровне знаете Go и имеете опыт работы с Python
* Понимаете важность тестов и любите их писать
* Понимаете принципы работы компьютерных сетей
Будет плюсом
* Имеете опыт реализации и поддержки проектов на Django
* Занимались системным и сетевым администрированием
* Работали с сетями и понимаете принципы маршрутизации и передачи данных
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Every agent on Baseten Sandboxes gets its own microVM, where it writes and runs code, calls tools, and keeps state across long tasks. Agents pause and resume constantly, so the machine underneath has to start, stop, snapshot, fork, and resume fast, and keep every tenant isolated while it does. General-purpose virtualization was not built for that workload.
The Agent Infra team builds that layer. Sandboxes run in microVMs with custom Linux kernels on bare-metal servers we operate. You'll own how sandboxes start, stop, snapshot, fork, and resume, and how they perform on each host's CPU and memory, down to the hardware. You'll also own the guest and host side of each sandbox: its identity, how it attaches to different storage classes for performance or capabilities, and the virtual devices that connect it securely to the network. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose microVM sandboxes are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes.
We are building a cloud, not just using one. That means designing for many tenants from day one and thinking through what each decision means all the way down to the datacenter. The team is small and ownership is big: we ship in weeks and months, not multi-year programs.
If you've worked deep in KVM and Firecracker, Cloud Hypervisor, or QEMU and want to build the computers AI agents run on, we'd love to talk.
EXAMPLE INITIATIVES
- Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/
- Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/
- Baseten Sandboxes documentation https://docs.baseten.co/sandboxes
RESPONSIBILITIES
- Own the microVM lifecycle for agent sandboxes: start, stop, suspend, resume, snapshot, and fork
- Build and tune the custom guest kernels sandboxes run on
- Tune host CPU and memory configuration so sandboxes run fast and safely on each type of hardware we operate
- Manage host-level resources and sandbox density on each machine
- Own startup and resume performance end to end, from VM boot or snapshot restore to the first command
- Own the guest and host side of each sandbox: its identity, how it attaches to storage, and the virtual devices that connect it to the network
- Design isolation for multi-tenant workloads where the hypervisor is the security boundary
- Debug virtualization and isolation issues at scale, from userspace through the kernel to the hardware
- Contribute architecture decisions and code back to the open-source projects we build on
REQUIREMENTS
- Hands-on experience with KVM, plus Firecracker, Cloud Hypervisor, or QEMU
- Deep understanding of Linux internals: namespaces, cgroups, memory management, and the boot path
- Experience building cloud infrastructure as the provider (multi-tenant compute that customers run on), not only running workloads on a cloud provider
- Experience building multi-tenant infrastructure where isolation is a security boundary
- Strong systems programming background in Rust and/or Go; C/C++ also welcome
- Experience debugging performance and correctness problems across userspace and kernel boundaries
- You move fast and like owning a problem end to end on a small team
NICE TO HAVE
- Contributions to KVM, Firecracker, Cloud Hypervisor, QEMU, rust-vmm, or the Linux kernel
- Experience with Xen
- Working knowledge of container runtimes and sandboxing (containerd, runc, gVisor, Kata Containers)
- Experience with VM snapshot and restore, fast VM resume, or building and tuning custom Linux kernels
- Experience running virtualization on bare metal and tuning for specific CPU and memory architectures
- Experience building a sandbox, serverless, or function runtime product
- Familiarity with Linux performance tooling such as eBPF, perf, and ftrace
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: United Kingdom; Spain; Hungary; Bulgaria; Poland; Italy; Netherlands; France
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.
- Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient.
- Implement and maintain dbt best practices, data standards, and quality controls.
- Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs.
- Create AI agents to serve data questions for others
REQUIREMENTS
Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
- Expert knowledge of dbt (required).
- Proficiency with tools across the modern data stack (Python, SQL, BI tools).
- Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers)
- Structured thinking; ability to simplify complex, messy data into clear structures.
- Strong ability to understand varied stakeholder requirements and build generalised solutions.
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, United Kingdom
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including
Consensys, Tether, and Animoca Brands
About the role
Transak's Fiat/Payments team builds and operates the rails that move money between traditional banking systems and crypto — ACH, SEPA, Faster Payments, wires, virtual accounts, and card rails. As an SDE 3, you will own critical, high-throughput payment microservices end-to-end: design, build, scale, and operate systems that move real money for users across multiple currencies and jurisdictions, with US,UK/EU regulatory and global banking-partner requirements as a core part of the job.
This is a senior individual-contributor role calibrated against SDE 3 / Senior Engineer, driving architecture decisions, mentoring engineers, and being the go-to owner for a payments domain, while staying hands-on in code daily.
Key Responsibilities
Payment Systems Ownership & Architecture
Own payment microservices end-to-end — design, build, deploy, and operate Node.js services (orders, payment, reconciliation, virtual accounts, payout orchestration) handling real-time financial transactions at scale.
Design for correctness and failure: idempotent, retry-safe, reconciliable systems where every transaction is traceable, auditable, and recoverable (partial failures, webhook replays, duplicate detection, distributed state machines).
Architect for scale and resilience across a distributed microservices architecture; make service-boundary and build-vs-buy decisions; address root causes rather than symptoms.
Banking & Partner Integrations
Drive integrations with banking and payment partners (e.g. banking and card providers / risk providers) — API contracts, webhook handling, sandbox-to-production rollout, and reconciliation logic across multiple rails (ACH, SEPA, Faster Payments, wires).
Work with Risk, Compliance on KYC, AML, and fraud-control touchpoints in the payment flow.
Infrastructure, CI/CD & Operations
Build and maintain CI/CD pipelines (Jenkins) — automated testing, blue/green or canary deployments, and rollback strategies for services that cannot tolerate downtime or data loss.
Operate infrastructure on AWS (ECS/EKS, Lambda, SQS/SNS, RDS, CloudWatch); contribute to infra-as-code, monitoring, alerting, and on-call runbooks for payment-critical systems.
Optimize the data layer: schema design and query performance in MongoDB, caching and rate-limiting strategies with Redis, and safe migration patterns for high-volume transactional collections.
Participate in on-call for payment-critical services, including incident response and postmortems.
Technical Leadership & Collaboration
Lead technical roadmaps — break down large, ambiguous payments initiatives into shippable milestones; write design docs/RFCs; drive consensus across Engineering, Product, Risk, and Operations.
Mentor and raise the bar — review code and designs, coach mid-level engineers, and help hire and grow the team.
Uphold security and compliance best practices for handling PII/financial data in a regulated, PCI-DSS-adjacent environment.
What We're Looking For
6+ years
of professional software engineering experience, with a significant portion building backend/distributed systems; prior experience in
fintech, payments, on-and-offramp provider, or banking infrastructure strongly preferred
.
Strong hands-on expertise in
Node.js
(TypeScript preferred) for performant, production-grade backend services.
Deep experience with
MongoDB
— schema design, aggregation pipelines, indexing strategy, and performance tuning at scale.
Proficiency with
Redis
— caching, distributed locks, rate limiting, and pub/sub patterns.
Proven experience designing and operating
microservices architectures
, including inter-service communication (REST/gRPC/event-driven via SQS/Kafka,ELK,New relic, Mixpanel), service discovery, and API contract design.
Solid understanding of
CI/CD pipelines
, with hands-on experience using
Jenkins
(pipeline-as-code, multi-stage builds, automated test gates).
Working knowledge of
AWS infrastructure
— ECS/EKS/Lambda, VPC networking basics, IAM, S3, RDS, CloudWatch; infra-as-code (Terraform/CloudFormation) is a plus.
Strong grasp of distributed systems fundamentals: idempotency, eventual consistency, retries/backoff, circuit breaking, and failure isolation.
Track record of owning a service or domain end-to-end in production, including on-call responsibility.
Excellent written communication — comfortable authoring design docs/RFCs and explaining trade-offs to engineers and non-technical stakeholders (Risk, Ops, external partners).
Nice-To-Haves
Experience with payment rails (ACH, SEPA, Faster Payments, SWIFT/wires) or card processing.
Familiarity with banking partner integrations, webhook-driven reconciliation, or ledger/double-entry accounting systems.
Exposure to KYC/AML/fraud tooling.
Experience at a fintech/crypto-native company, payments processor, or Big Tech payments org.
Prior experience operating in a regulated environment (FCA, EMI/PI licensing context), given the UK/EU banking scope of this role.
Location: Remote
Workplace: Remote
STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE
ABOUT US
Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
JOB SUMMARY
We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer.
Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up.
You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership.
Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery.
If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you.
WHAT YOU’LL DO
- Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base.
- Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent.
- Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance.
- Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it.
- Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results.
- Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding.
- Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost.
- Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact.
- Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches.
- Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management.
WHAT SUCCESS LOOKS LIKE
Within your first year, you will have:
- Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics.
- Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve.
- Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance.
- Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology.
- Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter.
- Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes.
WHAT WE’RE LOOKING FOR
- Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level.
- A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams.
- Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery.
- Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research.
- Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks.
- A rigorous, measurement-first mindset that ties every quality investment back to business outcomes.
- Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops.
- Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart.
BENEFITS
- Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year.
- A competitive compensation package including stock options.
- Company-sponsored US health coverage (100% paid for employee).
- 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.
This position is fully remote — Constructor.io http://Constructor.io is a remote-first company.
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.
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: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team.
AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents.
Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay
Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery
- Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like.
- Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users.
- Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it.
- Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave.
- Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent.
- Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks.
WHAT OWNERSHIP LOOKS LIKE
- A bias for shipping. You move fast, and you finish what you start.
- Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences.
- An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago.
- An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability.
- Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web.
- 3+ years building production software that real users depend on.
WHAT YOU'LL BRING
- A passion for being on the frontier of AI products.
- Pride in building reliable, maintainable, and secure systems that scale.
- Motivation and high-agency to drive outcomes in a high-autonomy culture.
- 4+ years hands-on experience building production systems.
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience building AI products for enterprise or consumers
- Experience building native SDKs for iOS (Swift) or Android (Kotlin)
- Experience building messaging apps, voice apps or voice agents
- Experience with SIP, WebRTC, Twilio or contact-center platforms
- Experience with real-time, low-latency distributed systems
None of these are required. If the problems above excite you, we’d love to hear from you.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match.
We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination.
This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry.
RESPONSIBILITIES
- Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs.
- Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks:
- Account transitions between solution architect and FDE, with exit criteria and runbooks
- Non-P0 escalations to engineering teams, tracked and burned down weekly
- Customer patterns and gaps flowing into the product roadmap
- Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics.
- Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform.
- Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership.
- Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow.
- Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates.
- Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions.
REQUIREMENTS
- 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs
- Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus.
- You’ve run programs across many teams at once and kept them moving without formal authority
- Calm in the middle of an escalation: you bring structure to chaos and close the loop
- You write clearly and concisely, for engineers and for execs
- High ownership, and you’d rather fix the process than work around it
NICE-TO-HAVES
- Experience working on AI / ML Infra stack.
- Background in solutions engineering, SRE or forward-deployed teams
WHAT SUCCESS LOOKS LIKE
- In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room.
- Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Canada
United States
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seniorCyprus - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorCzech Republic - Remote; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorPrague; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorNicosia; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
ГибридSan Francisco; New York
УдалённоUnited Kingdom; Spain; Hungary; Bulgaria; Poland; Italy; Netherlands; France
London, United Kingdom
УдалённоГеография найма не уточнена
ОфисSan Francisco, CA
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
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