Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is shaping the future of Go-To-Market, and as a Solutions Consultant (SC), you’ll bring that future to life by building alongside customers and turning their biggest challenges into measurable outcomes. As a customer-facing, quota-carrying SC, you’ll bring together technical fluency and commercial ownership to grow your book of business. You’ll build pipeline with BDRs, engage key stakeholders, lead discovery, co-build workflow solutions live with customers, and guide opportunities through close. You’ll connect each solution to a clear business case and stay engaged through adoption, expansion, and renewal so customers realize the value of what they buy.
You’ll partner with BDRs, Outcomes Architects, and technical or product specialists while maintaining clear ownership of customer relationships, opportunity momentum, and next steps. If you’re a builder who loves to sell—and want to work at the intersection of AI, productivity, and enterprise—this is the role.
WHAT YOU’LL ACHIEVE
- Create pipeline across your book of business. Build target-account plans with BDRs and initiate outreach to priority stakeholders to generate qualified opportunities, alongside BDR-sourced pipeline.
- Own opportunities from first conversation through close. Lead discovery, qualify business needs and urgency, align stakeholders, shape the solution and business case, and drive the evaluation and commercial decision. Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path.
- Design and validate workflow solutions that deliver measurable value. Map current- and future-state workflows, co-build solutions live in Notion, and define realistic scope, success criteria, and an implementation path. Translate customer needs and validated outcomes into a clear business case, commercial recommendation, and decision path. Treat discovery as an opportunity to build and validate.
- Orchestrate the right partners while maintaining ownership. Engage BDRs, Outcomes Architects, and technical or product specialists at the right moments, with clear context and asks, while owning opportunity momentum, customer communication, and next steps.
- Drive customer value and commercial growth after signature. Partner with Outcomes Architects, guide the initial path to value with a clear adoption plan, on onboarding and ongoing multi-workflow adoption, and own expansion strategy and renewal planning. Stay accountable for translating credits sold into credits consumed, and surface risks or expansion opportunities as customer workflows mature.
SKILLS YOU’LL NEED TO BRING
- Commercial ownership and pipeline generation. You can demonstrate how you created or advanced business, influenced customer decisions, and owned measurable outcomes. Relevant experience may come from quota-carrying sales or adjacent customer-facing roles.
- Technical fluency and builder mindset. You are comfortable building live in software and can demo, co-design, and troubleshoot with a customer without needing a specialist in the room.
- AI fluency. You are excited about AI, build with new tools, and continually learn new ways of working.
- Discovery, qualification, and value articulation. You can uncover customer needs, map workflows, qualify business impact and urgency, and translate what you learn into commercial outcomes, adoption plans, and clear success criteria.
- Agency, urgency, and learning velocity. You set clear goals, take initiative, learn from customer interactions, and apply those learnings to improve outcomes. You bring new ideas and workflows to customers and make complex problems easier to solve.
- Complex customer engagement. You can lead multi-stakeholder interactions and navigate procurement, legal, and security review cycles.
NICE TO HAVES
- Full-cycle B2B software sales experience or solutions engineering experience, with a consistent track record of exceeding quota across new-logo acquisition and expansion motions.
- Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals.
- Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software.
- Experience in a shared account ownership model, partnering with a post-sale or Customer Success team as part of an integrated customer motion.
- Fluency in Dutch
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €174,000 - €186,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Position Design and develop state-of-the-art algorithms, automation, and services in support of a cloud-based service that helps our customer resolve identities across their fleet of databases.
Location: Remote - Singapore
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role
Location: Singapore
- Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps
- Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more
- Give technical demos the entire suite of LangChain's products
- Lead trainings and workshops on best practices, targeted at developer audiences
- Collaborate closely with the enterprise sales team to win deals
- Collaborate closely with engineering, helping translate customer insights and feedback into product improvements
- Lead internally- and externally-facing, special projects that dogfood our new products
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
How to be successful in this role
- Engineers who love working with customers or are aspiring future founders
- Deployed engineers / solution architects who have experience in the role at developer focused companies.
- You have an engineering background and enjoy being a trusted partner to companies
- You like to find a way to “make it work”. Bent towards action and service orientation.
- You enjoy keeping up to date on the latest industry techniques
- You’re comfortable presenting best practices to bigger teams
- Bonus if familiar with LangChain or building with LLMs
- Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus.
- Ownership minded
- Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering
Compensation & Benefits
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
The garden3d Head of Technology has one mandate: everything we build works, holds up in production, and gets built the smartest way available to us. Working in close partnership with our founder & president Hugh Francis, this person sets the engineering standard, and builds the culture that holds it.
Полное техническое сопровождение сделок: от первого касания и выявления потребностей до защиты решения у ЛПР заказчика; Проведение глубоких технических презентаций, вебинаров и демонстраций (Demo) возможностей продуктов (удаленно и на выездах);
-Консультировать бизнес по вопросам технологической стратегии и архитектурных решений. -Помогать в оптимизации процессов разработки и управлении техническими рисками.
The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation.
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:
The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.
What you’ll do in the role:
Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations.
Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
Teach best practices for exploring and understanding AI system behavior across conversations and workloads.
Iterate through fast feedback loops and experimentation, and share both wins and failures.
What you’ll bring to the role:
Significant software engineering experience, with a record of shipping and owning features end to end.
Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React).
A track record of working closely with product managers and designers.
Regular, hands-on use of AI tools in your day-to-day engineering work.
Experience being on call. You'd join our rotation after about 90 days.
A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.
Bonus: Experience building LLM or agent-powered features in production.
Bonus: Hands-on experience with observability tooling, such as OpenTelemetry.
Base Salary based on level of experience
$250,000
—
$280,000 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
Little more about the team:
The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.
What you’ll do in the role:
Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations.
Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
Teach best practices for exploring and understanding AI system behavior across conversations and workloads.
Iterate through fast feedback loops and experimentation, and share both wins and failures.
What you’ll bring to the role:
Significant software engineering experience, with a record of shipping and owning features end to end.
Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React).
A track record of working closely with product managers and designers.
Regular, hands-on use of AI tools in your day-to-day engineering work.
Experience being on call. You'd join our rotation after about 90 days.
A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.
Bonus: Experience building LLM or agent-powered features in production.
Bonus: Hands-on experience with observability tooling, such as OpenTelemetry.
Base Salary based on level of experience
$183,340
—
$206,000 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: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
- Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
- Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on
- Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
- Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
- Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
KEY PROBLEMS YOU’LL HELP SOLVE
- Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
- Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
- Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
- Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
- Set the bar for developer experience through intuitive APIs and first-class observability
WHO YOU ARE
Required Qualifications
- 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
- Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
- Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
- Fluency in Go and/or Rust
- A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
- A strong product mindset, with real experience shaping technical direction rather than only executing against it
- Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
BONUS QUALIFICATIONS
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth 2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
- A track record of setting technical standards that other teams or engineers went on to adopt
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Ищем целеустремленного специалиста на линию технической поддержки нашего программного продукта для маркировки товаров IIoT/MDT на полный день, который будет обеспечивать быстрые запуски и поддержку. Какие задачи вас ждут.
Ищем целеустремленного специалиста на линию технической поддержки нашего программного продукта для маркировки товаров IIoT/MDT на полный день, который будет обеспечивать быстрые запуски и поддержку. Какие задачи вас ждут.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is looking for an experienced Lifecycle Marketing Manager, Campaign Strategy & Execution to develop and execute campaigns that help users discover value, adopt key workflows, and deepen their use of Notion.
You'll own campaigns end to end: translating business and customer opportunities into clear strategies, defining audiences and journeys, coordinating creative and technical production, launching across email and in-product channels, and measuring incremental impact.
This role combines strategic judgment with hands-on execution. You'll partner closely with Lifecycle Marketing, Product Marketing, Product Growth, Data Science, Marketing Operations, and creative partners. You should be equally comfortable shaping a campaign brief, building a journey in Customer.io http://Customer.io, resolving execution details, and interpreting results.
Scope guardrails: this role owns campaign strategy, hands-on execution, cross-functional delivery, and performance analysis. It is not the primary Customer.io http://Customer.io architect or incident-response owner, a general intake coordinator, or a production-only role receiving prewritten briefs. The person should operate as an independent campaign owner who can take work from an ambiguous opportunity to a high-quality, measured launch.
This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own the campaign portfolio. Independently lead a portfolio of launch, one-off, and evergreen lifecycle campaigns with clear prioritization and predictable delivery.
- Turn opportunities into strategies. Translate product launches, lifecycle moments, and business priorities into clear objectives, audiences, journeys, channel plans, and success metrics.
- Build high-impact lifecycle programs. Develop campaigns across onboarding, activation, adoption, collaboration, monetization, retention, and resurrection.
- Execute from brief to measurement. Own audience creation, build, QA, localization, launch readiness, and post-campaign analysis across email and in-product messaging.
- Improve foundational journeys. Audit existing programs and recommend which should be maintained, improved, rebuilt, or retired; lead the rebuild of priority onboarding or adoption journeys.
- Raise the experimentation bar. Develop testable hypotheses and use segmentation, personalization, holdouts, and A/B tests to understand incremental impact.
- Measure customer and business outcomes. Connect campaigns to activation, product adoption, collaboration, conversion, retention, or qualified sales outcomes—not only opens and clicks.
- Lead cross-functional delivery. Coordinate dependencies across Product, Engineering, Data Science, Product Marketing, Marketing Operations, Demand Generation, Sales, and external partners.
- Create repeatable systems. Turn recurring campaign work into templates, playbooks, and reusable operating patterns that improve quality and velocity.
- Enable safe self-service. Help cross-functional partners execute effectively while maintaining Lifecycle's strategic, customer-experience, and quality standards.
SKILLS YOU'LL NEED TO BRING:
- Significant experience owning lifecycle, CRM, growth, or product-marketing campaigns from strategy through execution.
- A track record of independently leading complex, cross-functional campaigns at meaningful scale.
- Strong customer-journey thinking across activation, adoption, engagement, conversion, and retention.
- Hands-on experience with a lifecycle platform such as Customer.io http://Customer.io, Braze, Iterable, or Salesforce Marketing Cloud.
- Strong audience segmentation, personalization, experimentation, and campaign-measurement skills.
- Ability to use data to prioritize opportunities, evaluate results, and change strategy; working knowledge of SQL or self-serve analytics is a plus.
- Excellent project leadership: clear briefs, dependable execution, proactive risk management, and crisp stakeholder communication.
- Strong editorial and customer judgment—you care about sending useful, relevant messages rather than maximizing message volume.
- Comfort operating in a product-led, highly cross-functional environment with incomplete information.
- Experience with B2B or product-led growth, product telemetry, in-product messaging, or AI-assisted campaign workflows is a plus.
- 8+ total years relevant + transferrable experience.
WHAT SUCCESS LOOKS LIKE IN THE FIRST SIX MONTHS:
- Establish a clear operating rhythm for launch, one-off, and evergreen campaigns.
- Independently own a meaningful portfolio from strategy through performance analysis.
- Launch a materially improved onboarding, activation, or adoption journey with a defined experiment and measurement plan.
- Establish consistent briefs, segmentation standards, QA, launch-readiness checks, and post-campaign readouts.
- Demonstrate credible incremental movement in a product or business outcome.
- Create meaningful capacity for senior Lifecycle teammates to focus on systems architecture, journey strategy, personalization, and modernization.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $190,000 – $220,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities.
What You’ll Be Doing:
Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners
Leading technical engagement with partners to drive deal progression and close opportunities
Delivering product demos, technical presentations, and hands-on enablement sessions
Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams
Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events
Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services.
Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams
Shaping and expanding the reach of Grafana Partner University across multiple partner personas
Collaborating with internal teams to provide product and competitive feedback
Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners
Run high impact workshops and 1:1 training to generate and progress pipeline
Travelling up to 50% to support cloud partner events, workshops, and field activities
What Makes You a Great Fit:
Located: United States (Remote)
6+ years in pre-sales or solution architecture, ideally within the observability space
Strong experience selling SaaS software across the NORAM region
Proven use of MEDDIC or similar qualification frameworks
Excellent communication and interpersonal skills, especially in remote, global teams
Demonstrated ability to operate in a fast-paced, ambiguous, startup environment
Strong judgement, leadership, and problem-solving abilities
Passion for education, enablement, and helping others succeed technically
Bonus Points For:
Experience with CSP’s and a strong understanding of their core infrastructure services.
Experience with cloud marketplaces, co-selling, or joint solution launches.
Solid understanding of observability and cloud native tooling
Background in OSS first companies
Experience with Grafana, Prometheus, and Loki
Hands-on experience deploying and operating Kubernetes
Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience)
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000
.
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
.
Задачи:
• Анализ и документирование существующих сервисов и интеграций компании.
• Сбор и формализация функциональных/нефункциональных требований, подготовка ТЗ.
• Описание взаимодействия систем, API и потоков данных (SOAP/REST).
• Моделирование процессов и сущностей предметной области (BPMN/UML).
• Участие в проработке технических решений, архитектуры и интеграций с партнерами.
• Подготовка тестовых сценариев и документации для внешних пользователей.
• Анализ рисков и причин ошибок на этапе разработки.
Требования:
• Опыт работы системным/бизнес-аналитиком от 3 лет в IT-сфере (банки, финтех, телеком, интеграторы).
• Владение BPMN и UML, умение формализовать процессы и требования.
• Практический опыт описания интеграций и API: REST/SOAP, sequence diagram, XSD, JSON Schema.
• Понимание принципов работы брокеров сообщений (RabbitMQ, Apache Kafka).
• Опыт работы с инструментами Jira, Confluence, Miro, Figma, Enterprise Architect.
• Знание жизненного цикла разработки ПО (SDLC) и подходов управления разработкой (Agile, Kanban и др.), включая опыт декомпозиции крупных задач.
• Базовые навыки работы с SQL для анализа и проверки данных.
Условия:
• Офисный формат работы в солнечном Ташкенте.
• Офис – просторный, современный, с зонами отдыха и спортзалом.
• Продукт, которым пользуются тысячи людей – видимый вклад в развитие компании.
• Конкурентная заработная плата: ежемесячный оклад + KPI, ежегодная индексация.
• Расширенный полис ДМС, включающий стоматологию и получение медикаментов (после испытательного срока).
• Оформление в соответствии с законодательством Узбекистана.
Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
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 AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
THE OPPORTUNITY
- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
WHAT YOU BRING
- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
NICE TO HAVES
- Experience building infrastructure for agent-based or LLM-powered systems
- Background in high-performance networking, async systems, or low-latency architectures
- Experience with container orchestration and cloud-native infrastructure
- Familiarity with evaluation frameworks and model performance monitoring at scale
- Experience working in fast-moving 0→1 or platform-building teams
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
Serve as the CEO's financial thought partner on growth strategy, investment priorities, resource allocation, and profitability. Drive capital allocation decisions across the executive team — where Engine invests people, capital, and resources, and where we make tradeoffs.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE OPPORTUNITY
Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted.
Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering.
This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products.
You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes.
WHAT YOU'LL DO
TECHNICAL VISION AND STRATEGY
- Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms.
- Define and sequence "trusted by default" architecture for 20M developers.
- Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps.
- Establish company-wide architectural principles and security standards.
- Identify high-leverage platform investments that enhance security across all Docker products.
- Proactively position architecture ahead of evolving supply chain threats and regulatory demands.
BUILD SECURITY ARCHITECTURE
Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images.
- Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history.
- Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines.
- Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility.
- Align with and help shape emerging supply chain security standards.
- Ensure security controls remain fast and unobtrusive so developers keep them enabled.
SDLC AND DEVELOPER WORKFLOW INTEGRATION
- Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment
- Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us
- Define the developer experience for security tooling, where the secure path is the fast path and the default path
- Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow
- Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives
TECHNICAL EXCELLENCE AND INFLUENCE
- Work with leaders across engineering to drive strategy and execution
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement
- Participate in executive-level discussions, providing architectural perspective on business decisions
- Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability
WHAT YOU'LL BRING
DOMAIN EXPERTISE
- 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling
- Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations
- Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence
- Practical knowledge of supply chain security frameworks and standards
- Expertise in API design, service architecture, and scalable system integration
- Proven record delivering large-scale distributed systems for millions of users and enterprise customers
- Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure
- Bachelor's degree in CS, Engineering, or equivalent practical experience
STRATEGIC AND BUSINESS IMPACT
- Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals
- Experience converting business strategy into technical architectures and roadmaps
- Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes
- Experience leading build-vs-buy decisions for core platform components
LEADERSHIP AND INFLUENCE
- Ability to lead large, cross-company technical initiatives across multiple engineering teams
- Experience partnering with VPs and executives to define and execute technical strategy
- Proven ability to influence technical direction and build consensus without direct authority
- Strong communication skills for presenting to executives and driving organization-wide alignment
- Experience mentoring senior engineers and developing technical leaders
ENTERPRISE CONTEXT
- Experience building products that serve enterprise customers with complex security and compliance requirements
- Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications
- Understanding of how enterprise security teams evaluate, procure, and operate tooling
PREFERRED
- Scale experience at a security, developer tools, or infrastructure software company
- Experience with containers (Docker, Kubernetes) or developer platforms
- Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition
- Proven ability to migrate legacy systems without disrupting business operations
- Contributions to open-source security tools or supply chain security standards
- Recognized technical leader via speaking, publishing, or open-source work
- Advanced degree in CS, Engineering, or a related field
WHAT SUCCESS LOOKS LIKE
Security Posture
- Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration
- Build-time threat classes are addressed architecturally rather than through detection after the fact
- Developers keep security controls enabled because the controls are fast and unobtrusive
Business Enablement
- Security and governance capabilities directly unblock enterprise revenue
- New product SKUs launch in weeks instead of months through the billing platform
- Usage-based billing supports monetization of new security and AI product lines
Platform Leverage
- Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months
- Shared security primitives replace fragmented per-product implementations
- Platform systems achieve 99.9%+ uptime for business-critical workflows
Organizational Impact
- Recognized across Docker as the definitive technical authority on build and supply chain security
- Multiple Staff and Principal engineers developed who can own major domains
- Docker's voice carries weight in the external supply chain security conversation
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $219K – $352K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
УдалённоRemote - Singapore
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