Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States; Canada
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview
As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models.
Key Responsibilities
- Build and maintain data pipelines for SFT, preference, and RL post-training data.
- Own dataset quality, versioning, and reproducibility.
- Turn research data recipes into production-grade, reusable components.
- Scale model inference for data generation and model-based grading.
- Design data formats and schemas that keep post-training datasets consistent and efficient to train on.
- Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models.
Qualifications
- Strong software engineering skills.
- Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training.
- Track record of running distributed data processing and model inference at scale.
- Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour.
- Excellent communication skills.
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Europe; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Key Overview:
As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams.
Key Responsibilities
- Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).
- Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.
- Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.
- Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.
- Turn successful research into robust, reproducible training recipes for production models.
Qualifications
- Strong research and software engineering skills, with hands-on experience training LLMs.
- Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.
- Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.
- Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.
- Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.
- Excellent communication skills.
- Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes.
Working Location
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Поддерживать и администрировать Identity Provider (IdP); Поддерживать и развивать CI/CD-пайплайны: сборка, тестирование, проверки безопасности, деплой;
Развёртывать и администрировать Kubernetes-кластеры (DropApp/OpenShift): настройка ресурсов, квот. Строить и поддерживать CI/CD-конвейеры (Jenkins + Bitbucket): от сборки Docker-образов до деплоя в prod.
Location: Toronto; Ottawa; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models!
AS A FULL-STACK SOFTWARE ENGINEER ON THE COHERE DASHBOARD TEAM, YOU WILL:
- Work with a small talented and enthusiastic team of software engineers
- Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers
- Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks
- Identify and remove roadblocks to enable your team to increase its engineering velocity
- Build resilient systems that are mission-critical
- Keep up with the cutting edge and adopt new technologies to improve performance and reliability
YOU MAY BE A GOOD FIT IF:
- You have experience shipping products with a large number of stakeholders
- You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
- You have hands-on experience with complex SQL queries
- You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs
- You’re excited to add new technologies to your toolbox and use them where it makes sense
- You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences
- You’re excited about AI and have the motivation to scale a company
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$310,000
—
$360,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$225,000
—
$265,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$285,000
—
$320,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$208,260
—
$234,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT GTM ENGINEERING:
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal.
We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
WHAT YOU'LL DO:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM.
- Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources.
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context.
- Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution.
- Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment.
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility.
- Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy.
- Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills.
WHAT YOU SHOULD HAVE:
- SQL fluency and Python proficiency.
- You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same.
- Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex.
- Hands-on experience with CRM architecture, integrations, and revenue or marketing operations.
- An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
- High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
Location: 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
We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership.
RESPONSIBILITIES
- Recruit, hire, and ramp a team of Enterprise sellers
- Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals
- Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation
- Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first
- Operate as a player-coach, carrying deals yourself while the team builds
- Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers
- Work with Marketing, Product, Engineering, and Legal to turn enterprise requirements into roadmap and GTM input
- Build a culture of accountability, learning, and collaboration
REQUIREMENTS
- 8+ years of closing experience, with 2+ years managing high-performing teams
- Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, public sector)
- A track record of recruiting strong sellers, ideally on a new or early-stage team
- Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds
- Willingness to sell as well as manage while the team is small
- Based in New York and able to be in office at least 3 days per week (Tuesday to Thursday)
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: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works.
We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. This role sits at the heart of that shift: how a developer discovers Render, achieves their first success, and becomes a paying customer whose bill makes sense to them. That journey spans onboarding and activation, billing, payments, and pricing — the moments where trust is won or lost and where good design directly moves the business. Because the journey crosses the whole product, you won’t be siloed on a single team; you’ll work across the groups that own these surfaces — product, billing, and more — following the work wherever it leads.
This is a craft-focused IC role built for speed, scale, and variety. You won’t polish one screen for a month; you’ll ship a lot, learn fast, and raise the bar across a wide surface. The craft bar is high — this is still Render, where details matter — but here it’s expressed through velocity: designs that ship, get measured, and compound. You’ll move between a pricing page, an upgrade flow, an onboarding step, and a billing surface in the same week, and hold all of them to the same standard.
What makes this work hard and interesting: these surfaces are deceptively high-stakes. A confusing bill erodes trust as fast as a failed deploy. A pricing page that misleads costs real money and goodwill. Payments and billing are where correctness, clarity, and edge-case rigor matter as much as polish — and where “the unglamorous flow” is the product.
You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love fast, measurable work, hold a high bar under velocity, and want your design decisions grounded in what real users do — not just what looks good in Figma or an AI prototype.
YOU WILL:
Design the journey from first touch to paying customer as one connected system. Onboarding, activation, upgrade, and billing aren’t separate surfaces; they’re one path a developer walks. You’ll design them to feel coherent, so the moment someone decides to pay is the natural next step, not a cliff.
Own billing, payments, and pricing as craft surfaces. Plans, usage, invoices, upgrade and downgrade flows, payment methods, dunning, and the pricing page itself. This is where clarity and correctness are the whole game — a developer should always understand what they’re paying for and why, and never be surprised. You’ll bring real rigor to the edge cases (failed charges, proration, usage spikes) that make or break trust.
Design a first-run and activation experience worth recommending. The path from signup to first successful deploy — and from first deploy to habit — is where growth starts. You’ll design it so that a developer’s first ten minutes make them want to tell someone, and so the steps that drive activation are clear, fast, and friendly.
Run on validation and experimentation together. You’ll put work in front of real users — testing, interviews, quick validation — and ship experiments to learn what actually moves activation, conversion, and retention. You’re fluent in both: you know when a question needs a user session and when it needs an A/B test, and you treat shipped data as how design decisions get earned, not decoration.
Move fast across a wide surface. This role trades depth-on-one-thing for range: you’ll prioritize ruthlessly, ship in small confident increments, and know which details matter now and which can wait. Speed is a feature here.
Partner across the company. Growth design lives at the intersection of product, engineering, data, marketing, and finance. You’ll communicate clearly and often, align fast-moving stakeholders, and make the case for the user inside business conversations about pricing and revenue.
Contribute to where Growth goes next. Alongside the shipping work, you’ll bring a point of view and concept explorations to the team’s design-led discovery track, through our weekly critique cadence.
WE’RE LOOKING FOR:
5+ years of relevant experience, including real work designing for developers or technical users. You’ve designed products for software engineers, not just adjacent to them — in developer tools, cloud infrastructure, APIs, or another technical product — ideally paired with growth, billing, or payments depth. We care more about your impact than your title, but designing for a technical audience isn’t optional here.
Exceptional taste and craft at speed. You have an eye for detail that borders on obsessive, and you can bring it to work that ships fast. You know how to hold a high bar without over-polishing, and you’ve shipped work that other practitioners admire.
Fluency in both validation and experimentation. You’re comfortable running user testing and interviews and designing and reading experiments. You know which question each one answers, and you let real user behavior — not just instinct — shape your work.
Rigor with complex, high-stakes flows. Billing, payments, and pricing reward people who sweat the edge cases. You design for the failed charge, the plan change mid-cycle, the confusing invoice — not just the happy path. You believe a clear bill is as much a design artifact as a beautiful dashboard.
Strong information architecture. You can take a tangle of plans, usage, and states and make it feel like one obvious thing.
You design the whole journey, not a screen at a time. Your portfolio shows a user journey that’s coherent from first touch through activation to paying — not a set of polished screens that don’t add up.
Fluent in how developers think and get billed. You design for a technical user’s real mental model — services, deploys, and how developers actually work. Bonus if you understand usage-based, resource-metered billing for developer tools: compute plans, CPU/memory instance types (e.g., 1c-2g), usage metering, and how pricing maps to the underlying infrastructure. You don’t need to have built a cloud platform, but you’re curious enough to get into the weeds.
Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait.
Clear, direct communication and a genuinely collaborative way of working with product, engineering, data, and finance partners — including sharing a problem space with another designer without needing hard fences between you.
NICE-TO-HAVES:
- Experience designing billing, payments, subscriptions, checkout, or pricing surfaces where correctness and clarity are high-stakes.
- A track record of growth wins you can point to: activation, conversion, or retention you measurably moved.
- Comfort with experimentation, tooling, and reading data yourself, rather than waiting on a handoff.
- Design-engineering literacy: comfort near code, motion, or prototyping, and curiosity about AI-assisted design.
- Writing, talks, or side projects that demonstrate your craft and point of view.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
About the role
We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed. You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations). In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones. Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting.
Much of this is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the communication strategy (internal and external), the cross-functional handoffs. Your role is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them. You will be a member of an experienced, high-performing and supportive leadership team.
What you'll own
Own the operating rhythm and planning: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter.
Keep major programs from colliding or stalling across research, modelling, product, delivery, and security. Be the person teams come to when it isn't clear who owns a decision, or how to navigate trade-offs.
Be the connective tissue between the Chief AI Officer’s org and the rest of the company: cross-functional planning with product, engineering, security, and finance, so the org's commitments are realistic and its dependencies are visible.
Own and lead special projects: Lead the things that don't fit neatly on any one team's plate: a reorg, a new partnership, a flagship research event, an org-wide planning week. Own them end to end.
Who you are
You have 12+ years of operating experience, with real time inside an AI/ML organization in a Chief of Staff, business operations, or senior program-operations seat. You know how to partner with teams shipping fast & often to high-stakes organizations, and you know how to change course with agility when needed.
You understand how AI actually works—at the level of someone who's done it rather than managed it from a distance. You can talk credibly about how a model turns into a product, what data requirements demand from both research and engineering, and where delivery motions usually break. You're fluent in the numbers. Model performance metrics, data pipeline throughput, budget-to-impact. You don't have to run every program yourself. You do have to understand them well enough that the people who run them respect your judgment.
You hold strategy and execution in the same hand. You can sit in a planning conversation with the Chief AI Officer in the morning and chase down a stuck deliverable in the afternoon.
You thrive in a fast-paced environment, you handle ambiguity with curiosity and confidence, you stay calm when it's messy. You have a track record of bringing order to a fast, complex org without grinding it to a halt.
You are an outstanding communicator and know how to wield soft power. Clear writing, straight talk, the ability to influence teams and individuals, and the executive presence to represent the Chief AI Officer in high-stakes conversations.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Director, Legal Operations will serve as the centralized owner for Legal’s operations, technology, data, and execution. This role is responsible for Legal AI strategy and implementation, partnering closely with Engineering, Product, Security, Finance, and other stakeholders to modernize and scale Kraken’s legal function. As Kraken’s regulatory footprint and business complexity grow, this leader will own operational strategy, tooling, process design, and metrics—driving automation, AI adoption, workflow standardization, and vendor optimization. This role ensures Legal operates as a strategic, data-driven partner to the business rather than a reactive cost center.
This leader will also be responsible for Legal’s financial, resourcing, and demand management foundations—ensuring the right work is done by the right resource at the right cost, with predictable outcomes as the organization scales.
THE OPPORTUNITY
- Serve as DRI for Legal Operations, Legal Technology, and Legal AI strategy, execution, and governance.
- Own Legal’s operating model across workflows, processes, resourcing, and service delivery.
- Own budget planning, forecasting, accruals, and cost modeling with Finance.
- Manage legal billing and outside counsel.
- Lead resourcing, capacity planning, headcount modeling, role design, and make/buy/automate decisions.
- Manage the legal technology stack (CLM, matter management, AI tools, knowledge management, intake, spend management).
- Enforce centralized ownership, standardization, and compliance across legal technology.
- Evaluate AI tooling, drive build-vs-buy decisions, translate requirements into technical roadmaps, ensure secure deployment, measure ROI, and lead integrations.
- Establish metrics, dashboards, and controls for workload, demand, spend, cycle times, efficiency, risk, and outcomes.
- Design and operate intake, triage, and demand-management frameworks, including prioritization models, service tiers, SLAs, and self-service pathways.
- Optimize vendor and contractor management, spend controls, billing review, performance measurement, and work allocation.
- Design, implement, and adopt AI-enabled legal workflows at scale.
- Evolve the Legal knowledge management strategy (playbooks, templates, decision trees, guidance) for reuse and automation.
- Prioritize operational, process, and technology initiatives based on impact, risk reduction, and ROI.
- Lead change management, training, and adoption for new processes, technologies, and AI systems.
- Ensure compliance with regulatory, security, privacy, and compliance standards.
- Maintain operational controls to reduce legal, regulatory, and model risk.
- Enable attorneys to focus on legal judgment, strategy, and advisory work.
WHAT YOU BRING
- 10+ years in Legal Operations, legal technology, process design, finance-adjacent operations, or operational leadership.
- Experience scaling legal operations, legal technology, financial management, and data-driven execution.
- Experience driving automation and AI initiatives from strategy through deployment, governance, adoption, and ROI measurement.
- Understanding of legal workflows (contracts, regulatory, litigation, investigations, intake, outside counsel management) and process redesign.
- Hands-on experience optimizing legal technology platforms (CLM, matter management, spend management, intake, knowledge management, AI tools).
- Ability to translate requirements into technical roadmaps and operational plans.
- Experience establishing metrics, dashboards, controls, and OKRs.
- Communication skills to influence legal leaders, executives, and technical teams.
- Experience operating in ambiguity and leading transformation in high-growth environments.
NICE TO HAVES
- Experience in fintech, crypto, financial services, or regulated industries.
- Background in enterprise AI governance, model risk management, or secure AI deployment.
- People management experience in Legal Operations or adjacent functions.
- Experience benchmarking Legal Operations practices, tooling, and cost structures against industry standards.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
УдалённоseniorГеография найма не уточнена
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ОфисUnited States; Canada
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УдалённоEurope; New York; Toronto
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