Location: United Kingdom
Workplace: Remote
Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale.
This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers.
What you’ll do here
- Generate qualified opportunities for EAMs through targeted outbound prospecting
- Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks
- Research target accounts and key personas to craft personalized and value-driven messaging
- Set up qualification calls for EAMs to run and advance through the sales cycle
- Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly
- Maintain accurate activity and lead data in CRM and engagement platforms
- Collaborate with marketing to align messaging and campaigns to drive higher response rates
- Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects
What we’re looking for
- 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies
- Proven ability to generate pipeline through outbound cold calling, emailing, and social selling
- Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools
- Strong written and verbal communication skills; able to clearly articulate technical value propositions
- Grit, curiosity, and the ability to handle rejection while maintaining a positive, proactive mindset
- Highly organized and self-motivated with a focus on measurable goals and continuous improvement
- Eagerness to learn about developer tools, DevOps, platform engineering, and AI workflows
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Prior experience selling into engineering or DevOps personas
- Familiarity with AI and GenAI developer tools
- Knowledge of open source ecosystems or cloud-native technologies
- Experience collaborating closely with Account Executives in an enterprise sales motion
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
You will own product design for Vercel Marketplace and Vercel Connect, the products that help developers and agents discover, provision, and connect external services to their workloads running on Vercel. You will design both sides of the ecosystem: builders choosing and managing services, and partners creating and operating integrations across the Vercel dashboard, CLI, API-driven agent flows, v0, and partner tools.
Both products are live, with active customers and partners. You will improve current journeys while defining how integrations and agent access should work next.
You will report into Design and collaborate with a Product Manager and dedicated engineering team.
We’re considering candidates at both the Senior and Staff level and will calibrate level based on experience and demonstrated scope and impact.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own the builder and partner experiences across discovery, installation, billing, management, and removal, and shape what the team builds next with Product and Engineering.
Define how developers and agents discover, provision, configure, and use databases, services, and integrations across Marketplace and Connect.
Turn OAuth, permissions, environments, credentials, billing, and provider constraints into experiences that feel simple without hiding details that matter.
Build and test working prototypes independently, using coding agents to explore product behavior and technical constraints.
Work directly with customers and partners, using research, support signals, and product data to find opportunities, define success measures, and prove improvements through experiments.
Work through implementation with engineers and maintain quality through launch and iteration.
There is no mature design playbook here. Create the reusable patterns and structure Marketplace and Connect need, and adjust course as evidence arrives.
Take on foundational product problems, including provider dependencies and platform operations. Some high-impact work will be largely invisible to users.
What you need
Your portfolio makes your contribution, decisions, shipped outcomes, and impact after launch easy to understand.
You have independently owned ambiguous, technically complex product work from problem framing through launch and iteration.
You reason about systems while maintaining a high bar for interaction and visual craft.
You use qualitative and quantitative evidence, define success measures, and change direction when evidence challenges the hypothesis.
You make complex products feel clear and trustworthy, including edge cases, recovery, language, and accessibility.
You work directly with Product and Engineering, read APIs or code when useful, and explain tradeoffs clearly.
You independently use coding agents to prototype interactions, inspect implementation, and learn unfamiliar systems. Curiosity and agency with these tools are required.
Production engineering experience is not required. We care more about product judgment, craft, ownership, and how quickly you learn a technical system.
Bonus if you
Have designed a marketplace, integrations platform, partner ecosystem, or other multi-sided product.
Understand OAuth, permissions, secrets, billing, developer tooling, or infrastructure products.
Have shipped AI or agent experiences, especially workflows that move between human approval and autonomous action.
Have an engineering background or experience contributing production web code.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: 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 is seeking a Senior Principal Engineer to serve as the technical visionary and architect for our Central Operations and Systems organization — the foundational platform that powers "how Docker does Docker", which includes corporate systems, developer AI/SDLC, infrastructure, reliability, and internal systems. This is one of the most impactful individual contributor roles at Docker, responsible for defining and driving the technical strategy that enables Docker's transformation to an AI-first company and effectively enables Docker to be "Customer 0" of Docker. Your influence will impact the work of every Dockhand every day.
As Senior Principal Engineer, you will establish strategic technical plans that span the company systems/data architecture and the end-to-end employee experience, make critical architectural decisions that affect Docker's entire internal systems portfolio, and drive technical execution of cross-company initiatives that directly enable every Dockhand. You'll work at the technical intersection of AI, platform infrastructure, developer SDLC, corporate systems, and Docker products, ensuring all systems work together seamlessly to support Docker's most precious resources: our employees.
This role requires someone who combines deep technical expertise across multiple domains. Managing the breadth is both the exciting and challenging part of this role. You'll be recognized across Docker as the definitive expert on employee experience, consulted by executives on strategic technical decisions, and responsible for ensuring that every Dockhand has the right tools at the right time to do their day to day work.
RESPONSIBILITIES
Technical Vision & Strategic Planning
- Define and own the multi-year technical vision for Docker's Central Operations and Systems group, encompassing internal AI, developer tools, infrastructure, reliability, and corporate systems.
- Establish strategic plans and objectives for major initiatives, making architectural decisions that ensure Docker's business objectives are met.
- Contribute to and drive the strategic vision in collaboration with engineering leadership, translating organizational strategy into technical roadmaps that span multiple teams and time horizons
- Identify and prioritize investments that provide maximum leverage—capabilities built once that enable rapid adoption and increase productivity across the employee base
- Develop architectural principles and standards that guide technical decisions across the Central Operations and Systems group and influence product engineering teams
- Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Cross-Company Technical Leadership
- Lead technical vision and implementation for large cross-company programs that require coordination across all Docker teams
- Architect the Docker SDLC "Golden Path": how Dockhands build, manage and deploy systems and software, as applicable
- Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities
- Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and reliability
- Lead architectural reviews for major initiatives across Docker, ensuring alignment with platform strategy and long-term maintainability
- Proactively identify and solve problems that impact critical areas of the business before they become blockers
Infrastructure & Developer Experience Architecture
- Define the infrastructure platform vision that removes infrastructure as a bottleneck to innovation—enabling teams to deploy experimental services in minutes, not weeks
- Architect standardized deployment patterns that encode best practices for security, scaling, monitoring, and reliability
- Design infrastructure that specifically supports AI and agent initiatives—rapid deployment, programmatic environment creation, consistent APIs
- Establish observability standards that provide distributed tracing, metrics, log aggregation, and error tracking out of the box for every service
- Drive cost optimization across platform infrastructure while maintaining performance and reliability standards
Technical Excellence & Influence
- Work with senior managers and directors across Docker organization to drive operations and strategy
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's platform architecture and AI adoption externally through blog posts, conference talks, and technical community engagement
- Participate in executive-level discussions on technical strategy, providing architectural perspective on business decisions
- Drive build-vs-buy decisions for critical platform components, evaluating vendor solutions against Docker's specific requirements
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED
Technical Expertise
- 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc)
- Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
- Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
- Expert-level understanding of API design, service architecture, and system integration patterns at scale, including in-house vs. vendor developed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
- Knowledge of enterprise security requirements, compliance frameworks (SOC 2, ISO 27001), and their architectural implications
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Strategic & Business Impact
- Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
- Experience translating business strategy into technical architecture and roadmaps
- Demonstrated ability to identify and prioritize investments that provide maximum platform leverage
- Understanding of SaaS business models, enterprise sales cycles, and how platform capabilities influence commercial success
- Experience making build-vs-buy decisions for critical platform components
Leadership & Influence
- Proven ability to drive large cross-company technical programs requiring coordination across multiple engineering organizations
- Experience working with VPs and executives to set and execute technical strategy
- Track record of influencing technical direction without direct authority—building consensus across teams with different priorities
- Strong communication skills with ability to present to executives, influence leadership, and drive alignment at all levels
- Experience mentoring senior engineers and developing technical leadership
PREFERRED
- Experience at developer tools, infrastructure software, or B2B SaaS companies at significant scale
- Background with container technologies, Docker, Kubernetes, or developer productivity platforms
- Track record of successfully migrating legacy systems while maintaining business continuity
- Knowledge of Financial Operations and infrastructure cost optimization at scale
- Advanced degree in Computer Science, Engineering, or related technical field
- External recognition as a technical leader (conference speaking, publications, open source contributions)
KEY SUCCESS METRICS
Platform Leverage & Velocity
- Product teams can launch enterprise-ready features in <2 weeks (vs. 6+ months today) by leveraging platform capabilities
- Docker teams rapidly adopt new capabilities within 2 months of release (vs. 6+ months today)
Technical Excellence
- Platform systems achieve 99.9%+ uptime for business-critical workflows
- Infrastructure platform reduces deployment time for new services from 2-4 weeks to <1 day
Organizational Impact
- Recognized across Docker as the definitive technical authority on internal architecture
- Successfully drive convergence of fragmented systems, reducing technical debt and operational burden
- Develop multiple Staff and Principal engineers who can own major platform domains
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
Location: Anywhere in France, Belgium, Spain; Toronto, ON, Canada
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🐼 WHO WE ARE
You. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR.
Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦.
🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH
You would join the team in charge of building smart products offering the most delightful and scalable Customer Service to 1M+ members.
We have developed a team of AI agents that brings immediate and personalized answers to about 50% of member's questions.
And when it is not enough, we seamlessly transfer the question to our care experts team. We build the cockpit for that handoff and the tooling for the humans who take over. It lets a care expert steer, correct, and supercharge the AI: routing requests, surfacing the right context at the right moment and drafting replies. The expert stays in command; the AI does the heavy lifting.
⚡ WHY THIS ROLE IS SPECIAL
- Direct Impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide delightful experience to members when they need it the most.
- Human + AI, done right: You won't build AI that replaces people. You'll build the control surface that lets human experts drive the AI - the tools that decide what happens when the AI alone isn't enough.
- Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access.
🔍 WHAT WE'RE LOOKING FOR
Technical Requirements:
- 5+ years building scalable software systems
- Full-stack experience (backend and frontend)
What we value:
- You love turning complex problems into elegant solutions
- You care about the "why" behind what you build, not just the "how"
- Humble and still willing to grow (no matter your seniority)
Mission Alignment:
- Healthcare technology excites you
- You understand that insurance isn't just about money - it's about access to care
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !
🌍 HOW WE WORK
Location: You must be legally eligible to work in France, Belgium, Spain or Canada (Toronto only)
Remote work: We offer remote work flexibility, but we value in-person collaboration.
Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life!
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: London; United Kingdom
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: Poland; Portugal; Ireland; Germany
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of €105,000 to €125,000
- Equity in an early-stage tech company on an incredible trajectory
- Apple hardware
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
- Location specific benefits
nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland
Location: London; United Kingdom
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: São Paulo
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
Responsibilities
Develop and implement the country business plan, setting priorities and allocating resources to meet revenue, margin and growth targets.
Oversee P&L performance, propose corrective actions where necessary and ensure accurate financial reporting to senior management.
Own the commercial plan for Brazil and its delivery against agreed objectives, and develop the entity's local distribution proposition.
Drive the continued growth of the business beyond its establishment phase, holding direct accountability for sales performance and client acquisition in Brazil against objectives agreed with the Chief Executive Officer, LATAM region.
Act as a statutory officer for the Central Bank, CVM or any applicable regulator.
Build and manage relationships with partners, intermediaries, and institutional counterparties, and establish the local brand credibility on which distribution in Brazil depends.
Lead the establishment and running of the local office and the administrative foundation of the entity, including corporate housekeeping, statutory filings, premises, payroll, banking relationships, and local service provider arrangements.
Ensure the entity's policies, procedures, and internal controls are applied in practice, kept current, and tested.
Represent the entity with clients, partners, regulators, banks, service providers, and industry bodies.
Coordinate with Capital.com Group functions so that services provided to the entity operate effectively and in compliance with applicable Brazilian requirements.
Prepare or oversee reporting for the shareholder, the Board where constituted, and LATAM and Group management.
Maintain the fit and proper standing required for the appointment throughout its term, and notify LATAM management promptly of any matter that may affect it.
Requirements
An academic degree at bachelor's level or above; MBA or postgraduate qualification considered an advantage.
A minimum of 7 years of experience in the Brazilian financial or capital markets sector — securities distribution, brokerage, investment platforms, asset management distribution, or a DTVM or CTVM — of which at least 5 years at senior management or statutory officer level.
A demonstrable track record in sales, distribution, or business development, with direct accountability for revenue or client growth in a regulated financial services business.
Experience of building or managing intermediary, investment agent, or partner distribution networks is considered a significant advantage.
A good understanding of the markets in which the entity will operate, including equities and exchange-traded funds, and of the broader investment services landscape in Brazil.
Sound working knowledge of the Central Bank and CVM regulatory framework applicable to a DTVM, in particular internal controls, suitability, and customer relationship obligations.
Experience of, or credible readiness for, appointment as a statutory officer of an institution authorised by the Central Bank of Brazil.
Must satisfy the Central Bank of Brazil's fit and proper requirements, including unblemished reputation, competence, and technical qualification compatible with the functions to be performed.
Must not be subject to any impediment or adverse finding recorded by a regulatory authority.
Any concurrent professional engagement, including external non-executive positions, must be disclosed and assessed for conflicts of interest and for compatibility with the commitment required by the role.
Strong commercial acumen, with the ability to build credibility and trust with clients, partners, and intermediaries in a relationship-driven market.
Ability to operate effectively and to build sound processes in a newly established business with a lean local team.
High level of accountability, initiative, sound judgement, and a collaborative working style.
Native or fully fluent Portuguese, written and spoken. Business-level English at B2 level or above according to the CEFR.
What you will get in return:
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
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Задачи:
— Развивать AI Agents, MCP, RAG и Skills
— Работать с Agentic Workflows, где Frontend, Backend, QA, DevOps и аналитика выполняются параллельно несколькими AI-агентами
— Работать с локальными AI-моделями
— Развивать архитектуру, CI/CD и production-ready подходы
— Понимать SDLC: от требований и архитектуры до deployment и поддержки
— Работать с бэком на Java или Go
Цель:
— Сформировать Fullstack AI Loop Engineer, способного пройти полный цикл создания продукта и использовать AI как полноценную часть engineering workflow
Требования:
— Грейд не принципиален: Junior, Middle или Senior
— Опыт в финтехе или банках не обязателен
— Важнее инженерное мышление, интерес к AI и готовность постоянно учиться
Условия:
— Формат работы удалённый
Location: San Francisco Bay Area, California; New York City Metropolitan Area
Workplace: remote
About the role:
Provectus is a
Premier AWS partner and an Anthropic Strategic Partner
at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
Our work centers on two verticals —
Financial Services & Insurance and Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints.
You will do the customer’s job before you automate it.
Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it.
A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement
in the operator’s seat
— as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and
rebuild the function from first principles
— and you are the one who builds it.
Three things define how you work:
Embedded, not engaged
. You are part of the customer’s team and inside their process — not a vendor running a project alongside it.
Real tasks, not scope
. You are not fenced into a siloed deliverable. You go where the operating problem is.
Autonomous
. Embedded is not staff-augmented. You own the method; nobody hands you a ticket.
You won’t start from zero.
Provectus builds industry blueprints
— working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice.
You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered.
This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping.
Requirements:
8+ years building software
, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
You will take the operator’s seat.
You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply.
You learn domains fast.
Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living.
Shipped GenAI/LLM systems to production
— not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate.
You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals
— dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS
(GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits.
Credible with senior stakeholders
— you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership.
Engagements start underspecified by design. Closing that gap is the job.
Solid AI/ML foundations
— you understand what the models do well enough to reason about failure modes, not just call the API.
Strong hands-on prodcution experience with
Claude Code/Cowork.
Fluent English, written and spoken.
Nice to have:
Prior experience as a
founder, CTO, or engineering leader
who has chosen to return to individual contribution.
Real depth in one of our blueprint industries:
financial services, insurance, healthcare, asset management
.
Consulting, professional services, or other embedded customer-facing delivery.
Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality.
MLOps and classical ML: PyTorch, SageMaker, MLflow.
Fine-tuning, distillation, or inference/serving optimization.
Graph databases (Neo4j, AWS Neptune).
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What you’ll do:
Take the seat
Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters.
Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles.
Build
Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations.
Build the evaluation harness before you build the feature.
When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé.
Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave.
Start from the blueprint, and
feed the blueprint.
What you learn in the field becomes the baseline the next engagement starts from.
Own the outcome
Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number.
Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it.
Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three.
Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it.
What We Offer:
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
High-impact role with direct visibility to leadership.
Strong earning potential with performance-based bonuses.
Opportunity to work with cutting-edge AI and cloud solutions.
B2B contract model or full-time model.
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data.
How we hire:
Intro conversation
— the role, your background, what you want to be doing.
Two live engineering sessions.
Real problems, your own editor.
You may use an LLM assistant
(ChatGPT, Claude) — how you work now includes these tools.
Autocomplete/agentic coding tools are off
for these sessions.
The redesign session.
We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one.
Team and practice conversation.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs.
This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough.
This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker.
Central RevOps is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down.
You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field.
RESPONSIBILITIES
- Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow.
- Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals.
- Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes.
- Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work.
- Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it.
- Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way.
REQUIREMENTS
- 4+ years in GTM systems, RevOps, or sales/business systems — owning platforms and process end-to-end
- Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields
- Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools)
- Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin
- A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does
- Experience owning vendor relationships, renewals, and license planning
- Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly
- Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast
NICE TO HAVE
- Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user
- Familiarity with a data warehouse and BI environment (Sigma, Hex, BigQuery, Snowflake) on the data layer
- Hands-on experience with Pylon
- Exposure to Deal Operations, CPQ, or quote-to-cash processes as a backup or contributor
- You've inherited a sprawling, redundant stack and made it more intentional without breaking what works
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: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue.
You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase Ramp’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close.
This is a high-velocity commercial role, not a traditional pre-sales position where success ends with a great demo. You’ll be accountable for turning technical evaluations into commercial wins from start to finish. You’ll lead discovery, shape deal strategy, build executive-level business cases, deliver tailored demonstrations, navigate technical and commercial objections, and create urgency around a clear path to purchase.
You’ll move comfortably between technical and executive conversations. In one meeting, you may discuss model routing, APIs, integrations, data governance, and security with Engineering and IT teams. In the next, you may help Finance and executive leaders understand the ROI, total cost of ownership, and operational impact of adopting Ramp’s AI products.
You’ll join at a formative moment for Ramp’s AI business. As one of the first dedicated sellers for these products, you’ll help identify the strongest use cases, refine how we position and sell the portfolio, influence the customer experience, and build the playbook the broader team will eventually scale. You’ll own the full customer lifecycle from discovery and evaluation through close, implementation, and adoption, helping customers translate their purchase into a successful deployment. This role combines Ramp’s resources and customer reach with the ownership, speed, and ambiguity of an early-stage team.
WHAT YOU’LL DO
- Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved.
- Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy.
- Translate Ramp’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes.
- Build ROI and total cost of ownership analyses that quantify the value of Ramp’s AI products and create executive-level justification for investment.
- Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production.
- Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision.
- Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership.
- Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control.
- Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision.
- Lead customers through implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption.
- Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams to remove deployment blockers and deliver a strong customer experience from evaluation through production.
- Bring structured customer and market feedback to internal teams to improve the products, positioning, sales execution, and customer experience.
- Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays as we build this go-to-market motion from the ground up.
WHAT YOU’LL BRING
- 5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role.
- Direct quota-carrying or deal-closing ownership of the pre-sale cycle—not only experience delivering demonstrations or supporting post-sale implementation.
- A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability.
- Strong discovery and value-selling skills, with the ability to connect technical capabilities to measurable business outcomes.
- Demonstrated ability to build executive-level business cases, including ROI and total cost of ownership analyses; this capability will be central to success in the role.
- Commercial instincts and comfort taking meaningful ownership of deal strategy, momentum, and results.
- Technical fluency across modern AI systems, including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control.
- Excellent executive communication and presentation skills, including the ability to make complex concepts clear and relevant to different audiences.
- The ability to explain probabilistic, rapidly evolving AI technology with credibility and precision without overpromising what the product can do.
- Experience building champions and navigating multi-threaded buying groups with competing priorities.
- High ownership, curiosity, sound judgment, and comfort operating in a fast-moving environment where you’ll build structure as you go rather than inherit it.
- Energy for zero-to-one work and the opportunity to build a sales motion rather than simply inherit one.
NICE TO HAVE
- Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software.
- Experience helping launch a new product or develop an early go-to-market motion.
- Familiarity with AI gateways, model routing, usage controls, data governance, or enterprise AI deployment.
- Experience selling to developers, IT, Security, Finance, Operations, Procurement, or executive stakeholders.
- Experience creating reusable sales assets, demonstrations, value frameworks, or enablement programs.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: United Kingdom; Ireland; Poland
Workplace: Remote
As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.
What you’ll do here
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Improve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Build reliable integrations between agents, workspaces, tools, and developer infrastructure.
- Own projects from implementation through rollout and iteration.
- Contribute to design reviews, code reviews, and technical discussions.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve the reliability, performance, and operability of agentic systems.
What we’re looking for
- Strong experience building and operating production software systems.
- Hands-on experience with Go.
- Experience with React and TypeScript.
- Experience building systems around LLMs or agentic workflows.
- Familiarity with model APIs, tool calling, context management, or agent loops.
- Good understanding of distributed systems and production reliability.
- Working knowledge of AWS.
- Strong problem-solving skills and comfort working through technical ambiguity.
- Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.
Bonus tacos if you have
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, or multi-agent systems.
- Experience with remote execution, sandboxing, or isolated compute.
- Experience building integrations across multiple model providers.
- Experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Our tech stack
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate.
We take a pragmatic approach to preventing and responding to security risks. In this role not only will you build and contribute to systems which detect malicious activity, you will have the unique opportunity to implement new controls to prevent future incidents. You will work across detection and response and corporate security domains. You'll contribute to practices that keep Sentry secure as we grow: alert triage for corporate and production, detection engineering, deploying preventative controls, identity and access management, investigations and incident response, and more.
You'll partner with teams across the company to prevent and respond to security incidents. You will work as a technical collaborator who prioritizes preventative controls, defense in depth, and high signal alerting practices. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security approaches and challenges.
IN THIS ROLE, YOU WILL
- Maintain, improve, and own detection engineering systems. We own and operate our own detection stack and are building agentic triage with thoughtful security response and orchestration automation.
- Perform investigations, and contribute to security incident response. You will assist and contribute to a breadth of incident types, or Sentry and our customers.
- Contribute to, maintain, and operate identity and access management systems. Access management is a critical component of our security program.
- Have a lot of opportunity to grow and learn across many security domains. We are a highly cross-functional team and you will have opportunities to touch adjacent security projects spanning appsec, infrasec, governance, and privacy.
- Research, identify, and respond to emerging threats relevant to Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices.
YOU’LL THRIVE IN THIS ROLE IF YOU
- Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you protect a fast-moving engineering organization.
- Get excited when something new lands on your desk, be it an interesting breach, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before.
- Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction.
- Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than make a noisy reactive solution which requires manual triage.
- Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team.
QUALIFICATIONS
- 2-5 years of industry experience in a detection and response, corporate security, or generalist security engineering role
- Degree in Computer Science or a related field, equivalent training, or professional experience
- Hands-on experience with several of the following: alert triage, detection tuning and writing, detection-as-code, security log ingestion, investigations and security incident response, identity and access management (IAM), phishing response, user access reviews, managing endpoint detection and response tooling
- Experienced and comfortable programing in at least one language (Python preferred) and comfortable using agentic development workflows
- Familiarity with operating distributed cloud technology (AWS, CICD, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and experience with corporate (SSO, SAML, IAM) and defensive security tooling (EDR, SIEM, CNAPP, ZTNA, etc.)
- A collaborative approach to problem solving paired with strong written and verbal communication
Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $162,000 to $200,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate.
We take a pragmatic approach to preventing and responding to security risks. In this role not only will you build and contribute to systems which detect malicious activity, you will have the unique opportunity to implement new controls to prevent future incidents. You will work across detection and response and corporate security domains. You'll contribute to practices that keep Sentry secure as we grow: alert triage for corporate and production, detection engineering, deploying preventative controls, identity and access management, investigations and incident response, and more.
You'll partner with teams across the company to prevent and respond to security incidents. You will work as a technical collaborator who prioritizes preventative controls, defense in depth, and high signal alerting practices. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security approaches and challenges.
IN THIS ROLE, YOU WILL
- Maintain, improve, and own detection engineering systems. We own and operate our own detection stack and are building agentic triage with thoughtful security response and orchestration automation.
- Perform investigations, and contribute to security incident response. You will assist and contribute to a breadth of incident types, or Sentry and our customers.
- Contribute to, maintain, and operate identity and access management systems. Access management is a critical component of our security program.
- Have a lot of opportunity to grow and learn across many security domains. We are a highly cross-functional team and you will have opportunities to touch adjacent security projects spanning appsec, infrasec, governance, and privacy.
- Research, identify, and respond to emerging threats relevant to Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices.
YOU’LL THRIVE IN THIS ROLE IF YOU
- Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you protect a fast-moving engineering organization.
- Get excited when something new lands on your desk, be it an interesting breach, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before.
- Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction.
- Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than make a noisy reactive solution which requires manual triage.
- Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team.
QUALIFICATIONS
- 2-5 years of industry experience in a detection and response, corporate security, or generalist security engineering role
- Degree in Computer Science or a related field, equivalent training, or professional experience
- Hands-on experience with several of the following: alert triage, detection tuning and writing, detection-as-code, security log ingestion, investigations and security incident response, identity and access management (IAM), phishing response, user access reviews, managing endpoint detection and response tooling
- Experienced and comfortable programing in at least one language (Python preferred) and comfortable using agentic development workflows
- Familiarity with operating distributed cloud technology (AWS, CICD, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and experience with corporate (SSO, SAML, IAM) and defensive security tooling (EDR, SIEM, CNAPP, ZTNA, etc.)
- A collaborative approach to problem solving paired with strong written and verbal communication
Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $150,000 to $200,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate.
As a Security Engineer on this team, you'll work across application and platform security domains. You'll contribute to the practices that keep Sentry secure as we grow: security reviews, threat modeling, vulnerability management, and embedding secure coding practices into an engineering organization that cares about doing things right. You'll partner closely with product and engineering teams to influence how features are designed and built from the start. You will work as a technical collaborator who helps make the secure path the obvious one. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security challenges.
IN THIS ROLE, YOU WILL
- Support and help mature Sentry's security review program. From secure code review, to architecture review, and threat modeling. You'll help build the processes, tooling, and culture which make security a natural part of how we ship and operate.
- Contribute to mature vulnerability management practices. Intake, triage, prioritization, remediation tracking, and support of our bug bounty and responsible disclosure program.
- Advocate for secure-by-design principles. Partner with engineering and product teams to embed security early in the development lifecycle and integrate security tooling into developer and CI/CD workflows.
- Validate and reproduce application and infrastructure security findings. Scanning, manual testing, and supporting penetration testing and vulnerability validation across Sentry's application, SDKs and cloud-based platform.
- Help evaluate and respond to emerging threats relevant to application security at Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices.
YOU’LL THRIVE IN THIS ROLE IF YOU
- Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you grow into shaping how security gets done across a fast-moving engineering organization.
- Get excited when something new lands on your desk, be it an interesting vulnerability, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before.
- Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction.
- Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than solve it manually a hundred times.
- Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team.
QUALIFICATIONS
- 2-5 years of industry experience designing, building, or securing complex applications and cloud systems
- Degree in Computer Science or a related field, equivalent training, or professional experience
- Hands-on experience with several of the following: security reviews, SDLC practices, secure CI/CD, architecture reviews, threat modeling, vulnerability management, bug bounty and responsible disclosure programs
- Experienced and comfortable programming in at least one language, and able to read and reason about code in Python, Typescript, Go, or Rust
- Familiarity with using distributed cloud technology (AWS, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and an understanding of how those technologies are secured (cloud networking, IAM, etc.)
- A collaborative approach to problem solving paired with strong written and verbal communication
Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $162,000 to $200,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Security Team is responsible for securing all things Sentry: our customers, our code, and everything in between. We are a small but growing team with broad scope, high trust, and the autonomy to tackle hard security problems with creativity and an engineering mindset. We work at a company with a strong developer culture, building a product that millions of developers genuinely love and rely on. That context shapes everything about how we operate.
As a Security Engineer on this team, you'll work across application and platform security domains. You'll contribute to the practices that keep Sentry secure as we grow: security reviews, threat modeling, vulnerability management, and embedding secure coding practices into an engineering organization that cares about doing things right. You'll partner closely with product and engineering teams to influence how features are designed and built from the start. You will work as a technical collaborator who helps make the secure path the obvious one. As Sentry expands our agentic product capabilities and development practices, you'll also find yourself at the frontier of a new set of security challenges.
IN THIS ROLE, YOU WILL
- Support and help mature Sentry's security review program. From secure code review, to architecture review, and threat modeling. You'll help build the processes, tooling, and culture which make security a natural part of how we ship and operate.
- Contribute to mature vulnerability management practices. Intake, triage, prioritization, remediation tracking, and support of our bug bounty and responsible disclosure program.
- Advocate for secure-by-design principles. Partner with engineering and product teams to embed security early in the development lifecycle and integrate security tooling into developer and CI/CD workflows.
- Validate and reproduce application and infrastructure security findings. Scanning, manual testing, and supporting penetration testing and vulnerability validation across Sentry's application, SDKs and cloud-based platform.
- Help evaluate and respond to emerging threats relevant to application security at Sentry. We build and operate a complex application and cloud environment, including the novel attack surface introduced by Sentry's agentic product features and AI-assisted engineering practices.
YOU’LL THRIVE IN THIS ROLE IF YOU
- Enjoy operating cross-functionally, building relationships, and influencing with technical expertise as you grow into shaping how security gets done across a fast-moving engineering organization.
- Get excited when something new lands on your desk, be it an interesting vulnerability, a sweet exploit, a novel agentic architecture, an unfamiliar cloud primitive, or a bug class you haven't seen before.
- Love working in a developer-forward culture where your colleagues are builders who care deeply about code quality and customer satisfaction.
- Reach for automation first, you'd rather build a scalable, systematic solution to a security problem than solve it manually a hundred times.
- Thrive with ownership and want more of it, you prefer to drive work end-to-end, and you're energized by the autonomy — and the mentorship — that comes with being on a small, high-trust team.
QUALIFICATIONS
- 2-5 years of industry experience designing, building, or securing complex applications and cloud systems
- Degree in Computer Science or a related field, equivalent training, or professional experience
- Hands-on experience with several of the following: security reviews, SDLC practices, secure CI/CD, architecture reviews, threat modeling, vulnerability management, bug bounty and responsible disclosure programs
- Experienced and comfortable programming in at least one language, and able to read and reason about code in Python, Typescript, Go, or Rust
- Familiarity with using distributed cloud technology (AWS, GCP, Azure, Kubernetes, Docker, Terraform, etc.) and an understanding of how those technologies are secured (cloud networking, IAM, etc.)
- A collaborative approach to problem solving paired with strong written and verbal communication
Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people are excited about this opportunity and eager to grow.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to $200,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: New York, New York; San Francisco, California
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:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
This role can be based in either San Francisco or New York City. 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:
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
NICE TO HAVES:
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
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 range for total on target earnings (including base salary and on target incentive pay) for this role is $165,000 - $205,000 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.
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УдалённоseniorSeattle, WA
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.