As a Presales Engineer, you will be responsible for delivering the technical win and product fit to our customers across the EMEA region. You will work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success.

Key responsibilities include:

• Building a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions.

• Taking part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle.

• Developing subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology.

• Leading technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges.

• Building and presenting powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products.

• Forming an understanding of a customers business and helping solve problems they’ve identified as well as uncover areas of opportunity.

• Building trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation.

• Contributing to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations.

Qualifications include:

• At least 5 years in a technical pre-sales role in CPaaS, SaaS or Telecom space.

• Solid understanding and experience of the sales cycle and the role of a pre-sales engineer.

• Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs.

• Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success.

• An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience.

• Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products.

• Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures.

• Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous:

• Backend (Java, C#, Node.js, Python or PHP).

• Web (JS, React).

• Experience with designing and consuming REST APIs.

Desired qualifications include:

• Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc).

• Familiarity with Mobile development, especially for iOS and Android.

• Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role.

• Experience with automation, cloud-native development and skills with a major cloud platform.

• Experience with sales methodologies.

• Additional language speaker a plus, specifically French or Hebrew.

This role will be remote and based in the UK, with approximately 35% travel anticipated to help you connect in-person in a meaningful way.

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Our ultimate goal is to be a leader in democratizing access to private and public equity markets by making those assets available on-chain and be tradable 24/7.

As a Staff Software Engineer in this role, you will work on the most critical projects across Tokenization, Robinhood Chain, and the Robinhood Wallet. Most importantly, you will proactively coach and uplift other team members, drive engineering excellence, and set the highest bar for quality.

This role is based in our Menlo Park, CA or New York, NY office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Own the technical vision and execution for Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet

• Design, build, and operate the core services that power Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet

• Remain deeply hands-on by writing production code, leading complex implementations, and setting the standard for engineering quality across the platform

• Improve developer practices and lead the adoption of the latest AI tooling to maximize engineering output

• Drive technical excellence across reliability, correctness, observability, and security

• Mentor engineers and raise the technical bar through design reviews, architecture discussions, and hands-on leadership

• Influence platform direction beyond your immediate team by aligning with adjacent organizations and company-wide initiatives

What you bring

• 10+ years of experience building and operating large-scale, distributed systems in production environments

• Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures

• 3+ years leading large-scale technical initiatives, with ownership spanning multiple teams or complex systems

• Strong grasp of system design, data modeling, and software engineering fundamentals

• Proven ability to simplify complex problems, make sound tradeoffs, and drive alignment across diverse stakeholders

• Strong ownership mindset with a track record of delivering high-impact, end-to-end product outcomes and raising team-wide technical standards

• Demonstrated experience mentoring and developing engineers, fostering technical excellence and long-term career growth

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$230,000-$270,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$203,000-$238,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$180,000-$211,000 USD

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Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

As an Engineering Manager, you’ll lead this dynamic team and work with product, data, and other engineering teams to drive innovation in Robinhood's Products. You’ll be responsible for crafting the team’s strategy, delivering impactful projects, and scaling the platform to meet the needs of our growing global user base.

This role requires a strong technical background, a keen product sense, and a collaborative approach. If you're passionate about building the future of Robinhood and crafting seamless experiences for millions of users, we'd love to hear from you!

The role is located in Toronto, Ontario, Canada, which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

Responsibilities

• Lead and empower your team: Provide technical and strategic leadership, mentoring engineers, and nurturing a culture of collaboration and innovation.
• Drive product excellence: Work closely with product managers, designers, and other teams to define and implement a roadmap for seamless payment experiences.
• Develop new features: Build and optimize payment solutions for global markets, ensuring they are intuitive and reliable.
• Scale for growth: Improve the platform to support international expansions, multi-account management, and new business features.
• Promote standard methodologies in engineering: Ensure high-quality code, scalability, and security in all deliverables.

Requirements

• Technical expertise: You have experience in backend development, (e.g., Python, Golang), and a deep understanding of building platforms.
• Strong product sense: You understand user needs and can translate business goals into elegant technical solutions.
• Leadership experience: Proven ability to lead engineering teams, drive complex projects, and deliver impactful results in a fast-paced environment.
• Collaborative approach: You excel in working with diverse teams and can influence collaborators across fields.
• Global perspective: Experience in building solutions for international users is a strong plus.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What We Offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.

System Architecture

• Design and implement efficient, secure and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality

• Write clean, maintainable and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration

• Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation

• Tackle complex engineering challenges, from distributed systems to AI product integration.
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

Who you are

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (Golang, Kotlin, C#).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

What we offer

• Competitive salary and equity
• Healthcare: Medical/Dental/Vision covered for you and your family
• 401K : 6% matching
• PTO : 18 days
• Transportation: Reimburse office parking charges, or $120/month for public transport
• Sport: $120/month reimbursement for gym membership
• Meal stipend: $400 monthly allowance for meals
• Visa sponsorship
• Coaching: we offer BetterUp coaching on a voluntary basis

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We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none.

You'll be working across the back-end:

Constructing a real-time digital twin of our renewable generation and customer demand Developing messaging interfaces with our third-party providers Building high-volume pipelines for processing customer energy consumption Build the backend of a world class energy app

For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change.

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You will contribute to distributed backend systems and shared platform services, and be responsible for the safe and reliable operation of these systems in production.

You will have ownership of projects that span months and multiple teams, requiring you to break down complex, ambiguous problems into clear steps that can be delivered and validated iteratively.

You will work closely with product, security, legal, and infrastructure partners, and will be expected to translate business and regulatory requirements into scalable technical solutions.

You will evaluate your work through system health and reliability metrics, leveraging observability and monitoring to ensure systems meet performance, reliability, and compliance expectations.

You will consider the long-term direction of the platform, ensuring that the systems we build today can support future scale, enterprise requirements, and evolving regulatory needs.

We're looking for someone with at least seven years of experience as a software engineer, with experience operating at a senior or staff level.

You should have experience building and operating backend systems at scale, ideally within platform or enterprise-focused teams.

Strong expertise in backend development and system design is required, with experience across the stack being a plus.

Relevant engineering experience for teams building enterprise-grade systems is also necessary, including areas such as security, compliance, data handling, access control, multi-tenant systems, or platform services.

Experience owning systems in production, including observability, incident response, and reliability improvements, is essential.

Ability to work across teams and functions, aligning with stakeholders and driving technical initiatives end-to-end, is also required.

Strong alignment with building reliable, scalable systems that support long-term product and business goals is necessary.

Previous experience leading projects or mentoring other engineers is a plus.

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As a Senior Machine Learning Engineer on the Ranking team, you will be responsible for enhancing the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse.

Responsibilities

• Design and develop ML-based ranking solutions to drive improvements in key business metrics such as conversion, engagement, and user satisfaction.
• Analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
• Innovate and optimize ranking algorithms to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.

Requirements

• At least 4 years of experience with Python for machine learning and backend development.
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications.
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving.
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data.
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery.

Benefits

• Unlimited vacation time.
• Fully remote team.
• Work from home stipend.
• Apple laptops provided for new employees.
• Training and development budget for every employee.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
• Stock options.
• Regular team offsites to connect and collaborate.

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You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive.

We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.

Ensure high performance and reliability across our distributed systems.

Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.

System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products.

Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality - Write clean, maintainable and well-documented code.

Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.

Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration.

Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

Who you are:

• Degree in Computer Science, Software Engineering, or equivalent practical experience.

• Proficiency in Python or another backend language (Golang, Kotlin, C#).

Engineers are assessed in their preferred language during a live coding session.

• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.

• Strong problem-solving abilities and attention to detail.

• Ownership mindset capable of shipping end-to-end features with minimal oversight.

• Excellent communication skills and collaborative attitude.

• Team-oriented, low-ego mindset and curiosity for learning.

Now, it would be ideal if you had experience with:

• Full-stack exposure

• Working closely with an API & developer ecosystem

• Deploying software to a diverse set of environments (cloud, on-premises, etc.)

• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)

• AI/ML engineering

• Observability and monitoring tools (Prometheus, Grafana, Datadog…).

• UX and product-centric mindset.

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Your success will be measured through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Sydney and requires travel up to 50%. We offer relocation assistance and a hybrid work model of 3 days in the office per week.

If you have 5+ years of engineering or technical deployment experience, including customer-facing work, and have scoped and delivered complex systems in fast-moving or ambiguous environments, we'd love to hear from you.

Key responsibilities include:

• Owning technical delivery across multiple deployments from first prototype to stable production.
• Building full-stack systems that deliver customer value and sharpen how we learn.
• Embedding closely with customer teams, understanding their needs, and guiding adoption of what you build.
• Scoping work, sequencing delivery, and removing blockers early.
• Making trade-offs between scope, speed, and quality; adjusting plans to protect delivery.
• Contributing directly in the code when progress or clarity depends on it.
• Codifying working patterns into tools, playbooks, or building blocks that others can use.
• Sharing field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keeping teams moving through clarity and follow-through.

If you're a collaborative problem-solver with excellent communication skills and a passion for delivering complex systems, we encourage you to apply.

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Salary Range: $160,000–$220,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)

Equity Range: Up to 0.10%

Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)

Job Type: Full-Time

Experience: 3+ years or equivalent shipped systems

Visa: US Citizenship/Visa required

You'll own technical integration delivery for priority customers , from first API call through production scale. Write TypeScript/Node.js code to build, customize, and debug integrations with payments systems, cloud platforms, and third-party APIs. Debug complex real-world issues live with customers , crawling edge cases, data pipeline failures, infra constraints. Build reusable solutions and playbooks that turn one-off customer problems into repeatable wins for the team. Translate customer friction into clear product and engineering insights and route them to the right people. Work closely with core engineering on reliability, performance, and DX improvements driven by what you're seeing in the field

A strong TypeScript/Node.js engineer. You write clean, production-quality code and you're fast. You've built integrations with external APIs and you understand what makes them brittle.

Experienced with payments and cloud platforms. You've worked with Stripe or similar billing systems. You've integrated with GCP, Vercel, or comparable cloud providers. You don't need to Google the basics.

Solid on backend and data fundamentals. You can design a system, model a schema, and reason about data at scale. You know when to reach for a relational database and when not to.

Security-aware. You understand the common auth patterns , OAuth, API keys, JWTs , and you know where the traps are when integrating third-party systems.

High ownership with customers. You're comfortable in ambiguous, high-stakes situations with real customers. You communicate clearly, set expectations honestly, and follow through.

Backgrounds that often do well: integration or platform engineers, solutions engineers who write real code, early engineers at API-first startups who owned customer-facing technical work.

What We're NOT Looking For

• Engineers who hand off customer problems to someone else after the first call

• Solutions engineers who demo well but can't ship production code

• Anyone who needs a fully-scoped ticket before they can start moving

A Note On Pace

We're a small team doing a lot. Roles here are loosely defined on purpose , you'll own things that don't have a clear owner yet, and that's a feature, not a bug. If you need your scope fully defined before you can move, this probably isn't the right fit. If you want to build something that matters inside one of the fastest-growing AI infrastructure companies in the world, let's talk.

Benefits & Perks

Available to all employees

Salary that makes sense , $160,000–$220,000/year (SF, U.S.-based), based on impact, not tenure

Own a piece , Up to 0.1% equity in what you're helping build

Generous PTO , 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge

Parental leave , 12 weeks fully paid, for moms and dads

Wellness stipend , $100/month for the gym, therapy, massages, or whatever keeps you human

Learning & Development , Expense up to $1,000/year toward anything that helps you grow professionally

Team offsites , A change of scenery, minus the trust falls

Sabbatical , 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

Full coverage, no red tape , Medical, dental, and vision (100% for employees, 50% for spouse/kids) , no weird loopholes, just care that works

Life & Disability insurance , Employer-paid short-term disability, long-term disability, and life insurance , coverage for life's curveballs

Supplemental options , Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind

Doctegrity telehealth , Talk to a doctor from your couch

401(k) plan , Retirement might be a ways off, but future-you will thank you

Pre-tax benefits , Access to FSAs and commuter benefits (US-only) to help your wallet out a bit

Pet insurance , Because fur babies are family too

Available to SF-based employees

SF HQ perks , Snacks, drinks, team lunches, intense ping pong, and peak startup energy

E-Bike transportation , A loaner electric bike to get you around the city, on us

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For\-ward Deployed Engineers (FDEs) lead complex end\-to\-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval\-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production.
• Build full\-stack systems that deliver customer value and sharpen how we learn.
• Embed closely with customer teams, understand their needs, and guide adoption of what you build.
• Scope work, sequence delivery, and remove blockers early.
• Make trade\-offs between scope, speed, and quality; adjust plans to protect delivery.
• Contribute directly in the code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks that others can use.
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keep teams moving through clarity and follow\-through.

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer\-facing work.
• Have scoped and delivered complex systems in fast\-moving or ambiguous environments.
• Write and review production\-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
• Simplify complexity and make fast, sound decisions under pressure.
• Communicate clearly with engineers, product teams, and customer stakeholders.
• Spot risks early and adjust without slowing down.
• Model calm and judgment when the stakes are high.

About OpenAI

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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Key responsibilities include:

• Leading and scaling a high-impact engineering team focused on growth-driven initiatives.
• Driving user growth and subscriptions by building and optimising sign-up flows, onboarding experiences, and subscription models.
• Improving retention and engagement by developing features that enhance user experience, personalisation, and re-engagement strategies.
• Running data-driven experiments (A/B tests, pricing models, referral programmes, churn prevention tactics) to optimise key growth metrics.
• Collaborating with Product, Marketing, Design, and Data Science teams to align on growth strategies and initiatives.

Requirements include:

• 5+ years of engineering management experience.
• Strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features.
• A track record of driving growth through experimentation, optimisation, and data-driven decision-making.
• Experience with subscription models, user acquisition, retention tactics, and monetisation strategies.
• Comfortable working with A/B testing, funnel analysis, user segmentation, and personalisation techniques.
• Experience using analytics tools (SQL, Amplitude, Looker, or similar) to guide product decisions.
• Passionate about AI and excited to work on bringing cutting-edge AI technologies to millions of users.

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Fifth Dimension is the most prominent AI company in real estate in the world, bringing the magic of AI automation to document-heavy industries. Our AI workspace helps leading investment managers, owners, and operators across the US, UK, and APAC automate complex workflows, extract insights from critical documents, and make faster, smarter decisions.

The Challenge

We're leaving a huge amount of value uncaptured because we haven't yet taken a design-led view of the product. What should the product look like to immediately communicate intelligence and connectivity? How do the first 30 seconds of a sales demo show we're an intelligence platform, not a chatbot? What's the UI that makes users want to share their work and pull their colleagues in?

What You'll Do

• Design and ship. You own the design layer end-to-end. User research through to pixel-perfect delivery. There is no handoff. You'll work shoulder-to-shoulder with engineering in London, prototype rapidly, and use AI tools to collapse the gap between idea and implementation. We ship daily. You will too.

• Define the language. You'll establish the visual standards, interaction patterns, component systems, and design principles the product grows into. Typography, hierarchy, density, motion, data visualisation. You set the bar and hold it.

• Invent AI-native interaction. Agentic workflows, streaming outputs, document intelligence, confidence signals, human-AI collaboration. There's no playbook for this. You'll be writing it. Trust, explainability, responsive agentic UI, designing intelligence. These are the problems that will define your best work.

• Talk to customers. Visit their offices. Watch them work. Run usability sessions. Sit with a portfolio manager and understand how they think about a $500M real estate portfolio. There is no research team. You are the research team.

• Design to drive growth. The first 30 seconds of a demo, the onboarding flow that lands a new team, the interface that makes a customer expand from one use case to five. Your design decisions directly drive revenue. You'll see that in the numbers, not just the Figma comments.

• Shape what gets built. You won't just execute on someone else's vision. You'll influence what the product becomes, not just how it looks. The best design work here is upstream, shaping product direction alongside the CPO and engineering.

• Raise the bar. Help product engineers develop stronger design instincts. Champion frontend quality, accessibility, and the details that separate good products from great ones. Make everyone care more about craft.

About You

You're a designer who ships. Exceptional taste, fast hands, strong opinions. You're equally comfortable in Figma and on a customer call. You don't wait for permission and you don't need months of discovery to produce something tangible. People around you would say you operate at a level above your title.

You've designed complex, data-rich interfaces for demanding professional users. Tables, dashboards, document viewers, multi-step workflows. You know what it means to design something 200 people use for 8 hours a day. Real enterprise tools, not consumer apps, not marketing sites.

You use AI tools to amplify your output and you're excited about what that means for the craft of design. You've designed AI interfaces: trust signals, agentic workflows, streaming UIs, human-AI collaboration. In production or as a side project, you've been exploring by building.

You have sharp product instinct. You shape what gets built, not just how it looks. You make trade-offs, back them up, and run your own user research. You don't need a research team to understand your users.

You thrive with autonomy. Ambiguity doesn't scare you, it's where the interesting work lives. You're energised by early-stage: building something from zero, not inheriting a playbook.

What We're Looking For

• Deep experience in product design, with a portfolio that shows real taste and craft in complex information design

• Shipped data-rich interfaces in production: tables, dashboards, document viewers, multi-step workflows for professional users

• Runs your own user research: interviews, usability tests, site visits. Energised by sitting with domain experts

• Systems thinker, designs in components and patterns, can build a design system from scratch

• Proficient with AI tools in their own workflow, uses them to move faster, not as a novelty

• At least one startup or early-stage experience where they owned design end-to-end

• Experience designing AI interfaces, trust signals, agentic workflows, streaming UIs, human-AI collaboration patterns

Nice to Have

• Has been a founding or sole designer before, knows the 'build from zero' experience

• Former founder, built businesses, wants to build product without the CEO overhead

• Adjacent domain knowledge, financial services, legal tech, data platforms

• Visible in the design community, writes, speaks, shares work publicly

• Can touch code, enough to prototype or unblock themselves

Compensation

We are a hybrid London office, everyone comes in every Wednesday, ideally more.

• Base: GBP 90,000-120,000

• Meaningful equity on a standard vesting schedule

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for inquisitive, well-rounded Backend engineers to join our Core, Monetization, and Tech Foundations engineering teams.

Working closely with product managers, designers, data scientists, and backend engineers, you'll play an important role in enabling the newest technologies and experiences as we scale and evolve.

You will build robust frameworks & features.

You will accelerate velocity for one of the world's largest public cloud workloads.

You will empower both developers and Pinners alike.

You'll have the opportunity to find creative solutions to thought-provoking problems.

Even better, because we covet the kind of courageous thinking that's required in order for big bets and smart risks to pay off, you'll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

What you'll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest

• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users

• Partner with design, product, and backend teams to build end-to-end functionality

• Put on your Pinner hat to suggest new product ideas and features

• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop

• Grow as an engineer by working with world-class peers on varied and high impact projects

• Design, develop, and operate large scale, distributed systems and networks

• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner

• Actively work to improve the developer process and experience in all phases from coding to operation

• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)

• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we're looking for:

• 2+ years of industry backend development experience, building consumer or business facing products

• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing

• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint

• Experience in Python, Java, C++, or Go or another language and a willingness to learn

• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers

• Ability to keep up-to-date with new technologies to understand what should be incorporated

• Strong collaboration and communication skills

• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review). High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.

Canada based applicants only $139,378-$189,378 CAD

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Your responsibilities will include:

• Building backend services that power campaign booking and management flows
• Designing and developing APIs that support campaign creation and execution
• Working closely with product and design to bring new features to life
• Improving system scalability, performance, and reliability
• Contributing to a collaborative engineering culture through code reviews and knowledge sharing
• Helping evolve our architecture as we grow and scale

We're looking for someone with experience developing backend systems using Java, designing APIs, and working with service-based architectures. You should be able to write clean, maintainable, and well-tested code, care about performance, scalability, and system reliability, and enjoy working collaboratively in cross-functional teams.

We offer a competitive salary range of $107,483-$153,547 equity, as well as benefits including health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.

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Key responsibilities include:

• Building out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contributing to and leading each step of the product development process, from ideation to implementation to release
• Partnering with design, product, and backend teams to build end-to-end functionality
• Employing automated testing to build features with a high degree of technical quality
• Growing as an engineer by working with world-class peers on varied and high-impact projects

To succeed in this role, you'll need:

• 2+ years of industry backend development experience, building consumer or business-facing products
• Proficiency in common backend tech stacks for RESTful API, storage, caching, and data processing
• Experience in following best practices in writing reliable and maintainable code
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow

This position is not eligible for relocation assistance. The base salary range for this position is $118,938-$244,872 USD, and the position is eligible for equity.

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As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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Responsibilities:

• Design and develop scalable and efficient backend solutions for our digital platforms.
• Write clean, readable, and reusable code.
• Perform unit testing and debugging to ensure high quality and reliability.
• Participate in technical discussions and contribute ideas to improve the product's performance and functionality.
• Collaborate with frontend developers and other team members to ensure a smooth user experience.

Qualifications:

• Experience in backend development with a focus on web applications.
• Good knowledge of programming languages such as Python, Java, or similar.
• Experience working with frameworks such as Django, Flask, Spring, or similar.
• Familiarity with database management systems such as MySQL, PostgreSQL, or similar.
• Knowledge of API design and implementation.
• Strong problem-solving skills and ability to work independently as well as in a team.

Benefits:

• Attractive salary based on experience and competence.
• Opportunity to work with exciting projects and the latest technology.
• Flexible working hours and possibility of remote work.
• Continuous professional development and opportunities for career growth.

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In this role, you will specialise in backend development, designing and optimising robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform.

Responsibilities:

• Develop and optimise microservices for high-concurrency transactions using Go, Postgres, and Kafka.
• Collaborate on system architecture, testing, and monitoring to ensure uptime and performance.
• Build internal tools using frontend technologies as needed to support operational efficiency.
• Support the Technical Lead in risk mitigation and align with engineering, product, and compliance teams to drive project success.
• Contribute to the development of secure, scalable systems for handling financial data and transactions.
• Iterate rapidly on feedback to deliver high-quality solutions in a dynamic environment.

Basic Qualifications:

• 5+ years of software engineering experience, with a strong focus on backend development.
• Proficiency in Go or similar languages and experience with databases (e.g., Postgres) and streaming systems (e.g., Kafka).
• Familiarity with building distributed systems for high-scale, low-latency environments.
• Knowledge of handling secure financial data.
• Ability to contribute to frontend development for internal tools when required.
• Strong communication and problem-solving skills, with a collaborative mindset.

Preferred Skills and Experience:

• Experience in fintech, payments, or regulatory frameworks (e.g., PCI-DSS, AML/KYC).
• Prior work in a fast-paced, startup-like environment on greenfield projects.
• Comfort navigating ambiguous requirements and iterating based on feedback.
• Passion for leveraging AI to transform financial systems.

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You will:

• Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.

• Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.

• Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.

• Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.

• Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.

Our ideal candidate has a strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience), and 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++.

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This role owns large, ambiguous problem spaces directly tied to company metrics and translates them into a clear six-month technical roadmap, leading delivery for 15–20 engineers across team boundaries. You will collaborate on ideas that shape area-level decisions, communicate effectively at all levels, and continuously integrate evolving business context into product and platform direction.

You will set and model high standards for engineering and operational excellence,driving reliability, scalability, execution rigor, and long-term maintainability across foundational systems,while remaining deeply hands-on through daily coding, design authorship, critical reviews, and architectural leadership.

The role influences Core Engineering roadmaps, establishes technical direction, and brings strong instincts for high-quality consumer-facing experiences. You will mentor senior talent, raising the technical bar through coaching and example, and extend your impact through org-level technical leadership.

Over time, this leader grows from a cross-team technical driver into an org-level technical strategist, optimizing for the company as a whole rather than a single scope.

This team will own project Optimize Activation and Engagement Flows for Team Users. Lead a multi-year plan to modernize onboarding and activation, clean up core Dropbox surfaces, and build intelligent, adaptive systems that boost team activation, invites, and long-term engagement across platforms.

Opportunity for large impact on the business helping Teams users activate on the right features to drive down churn.

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As a Senior Software Engineer, Financial Platform, you will work with your squad to build the financial systems and integrations that underpin Discord's existing business lines, and enable new revenue streams across Android, iOS, and Web. You will run revenue operations side by side with our finance and accounting teams, collaborate with business development to forge strategic partnerships, and partner with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms.

Key responsibilities include:

• Building financial systems and integrations that underpin Discord's existing business lines and enable new revenue streams
• Running revenue operations side by side with our finance and accounting teams
• Collaborating with business development to forge strategic partnerships
• Partnering with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms

The ideal candidate will have 5+ years of software engineering experience, deep expertise in backend development (Python), and working knowledge of frontend technologies (React, TypeScript).

We offer a competitive salary range of $196k to $220k, plus equity and benefits. Relocation assistance may be available.

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A typical day will involve collaborating with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. You will drive the technical vision and strategy for workflow and backend optimization, leading and contributing to the full development cycle: technical design, implementation, testing, experimentation, and deployment.

We are looking for a seasoned software engineer with 9+ years of experience in service-oriented architectures and backend development. You should have expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. You should also be proficient in crafting backend systems focusing on technical quality, efficiency, and resilience.

In addition to your technical expertise, you should have excellent collaboration and communication skills to work effectively across teams and domains. You should be passionate about agile development, system optimization, and team productivity enhancements.

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Your work will be vital in delivering a high-value premium experience, without compromising the core experience for our free users. You'll be a key driver in generating the revenue that fuels Discord's mission.

In this product engineering role, you'll collaborate cross-functionally with Product, Data Science, Design, Marketing, and other functions to create best-in-class consumer experiences. Your work will cover the full breadth of the technical stack, from backend data modeling, through business logic in APIs, to polished, user-facing interfaces.

You'll be supported by infrastructure, platform, and product teams on your mission to build the best premium Discord.

Check out some of our recent launches on Nitro, shop, boosting, user identity, and more. To learn more about Discord Engineering, take a look at our engineering blog!

What You'll Be Doing

• Build and improve premium Discord experiences such as Nitro, shop, boosting, user identity, and more.
• Own projects end to end by partnering with Product to refine requirements, create technical specs, and work closely with Design to execute and deliver best-in-class user experiences.
• Work with a team of full-stack engineers to ship new features across Web, Android, and iOS.
• Lead complex initiatives from conception to completion, thriving in ambiguous environments.
• Rapidly prototype new features and synthesize insights through experimentation.

What you should have

• 5+ years of software engineering experience.
• Full-stack proficiency.
• Product sense.
• Ownership mentality.
• Pragmatic approach.
• Performance-focused mindset.
• Growth mindset.

Bonus Points

• Experience working on teams focused on growth, particularly in revenue generation, product monetization, or user engagement systems.
• Strong track record of driving measurable impact through experimentation and data-driven decision making.
• Demonstrated success in attracting new users, driving engagement, sustaining long-term retention, and optimizing consumer-facing features.
• Experience with performance optimization at scale, particularly for consumer-facing applications.
• Interest or passion for the Discord platform.

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As one of the first pioneers of earned wage access, our focus at EarnIn is building products that deliver real-time financial flexibility for those with unique needs.

We're fortunate to have an experienced leadership team and world-class funding partners. We're growing fast and are excited to bring world-class talent onboard to help shape the next chapter of our growth journey.

Position Summary

We're looking for a Staff Backend Engineer to join the Core Services team at EarnIn. We're seeking experienced, passionate, and resourceful engineers to join our backend teams.

This position will be hybrid from our Bengaluru office, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

Responsibilities

• Design and implement scalable, high-quality backend features and REST APIs
• Drive end-to-end execution of complex initiatives, from design to production
• Maintain and extend test automation to support CI/CD
• Mentor engineers and provide guidance through code and architecture reviews
• Collaborate with cross-functional teams (Product, Design, Data Science, Marketing)
• Debug and resolve production issues across services and infrastructure
• Continuously adopt and evaluate new technologies for business impact

Requirements

• 7+ years in backend development, with experience in a tech lead role
• Bachelor's/Master's/PhD in Computer Science or related field, or equivalent experience
• Proficient in C#, Kotlin, or Java
• Strong experience architecting and optimizing complex, data-driven systems
• Proven ability to lead technical strategy, mentor engineers, and drive delivery
• Excellent communication skills across distributed teams
• Fintech/payments domain experience is a plus
• Experience building scalable, cross-functional payment systems is a plus
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

Benefits

EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

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Responsibilities:

• Design and ship billing capabilities end to end
• Build for correctness first, ensuring idempotency, reconciliation, and audit trails
• Own the interfaces, designing contracts that hide complexity and hold up under change
• Make build-vs-buy calls, deciding where to extend third-party billing, payment, and tax platforms and where to build our own primitives around them
• Own the payments stack, including authorization rates, retry logic, processing cost, automated dispute response, and fraud controls
• Drive down manual work, closing the gap between enterprise contract amendments, pricing config changes, and billing support escalations
• Operate what you ship, owning SLOs on customer-facing flows and instrumenting the revenue pipeline to surface discrepancies before month-end close
• Partner across the company, helping to thread the needle between Growth, Sales, Finance, and product teams

Requirements:

• 8+ years building backend or platform systems in production, 3+ years leading large-scale, complex projects or teams as an engineer or tech lead
• Track record of shipping in fast-moving environments where requirements shift under you and you still land something correct and maintainable
• Care about correctness and data integrity as first-class design concerns, not afterthoughts
• Enjoy cross-functional work, translating between Product, Finance, Sales, and Legal

Preferred qualifications include experience building billing, payments, subscription, or fintech systems, integrating or extending third-party billing and payment platforms, and working on revenue reconciliation, financial reporting pipelines, or systems that survived an audit.

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Your work will contribute to the full secret management lifecycle, from push protection to pipeline-based scanning, validation, and auditability, so developers can move quickly without taking on avoidable security risk.

This is a strong opportunity if you want to work on security features with clear customer impact, improve detection quality, and help teams act when credentials, API keys, or other secrets are exposed.

You'll focus on backend systems that power Secret Detection across GitLab's DevSecOps platform, working closely with product management and engineering peers in an async-first environment.

In your first year, you'll contribute to core product capabilities, improve performance and result quality, and help shape technical direction through code reviews, RFCs, and proof of concepts.

Some examples of our projects:

• Prevent secret leaks in source code with GitLab Secret Push Protection
• Verify validity of secret detection findings

Responsibilities

• Guide the design and implementation of backend features for GitLab Secret Detection in Ruby on Rails, GraphQL, and Go, delivering capabilities that improve coverage, reliability, or response time for secret detection workflows.
• Build clean, well-tested, maintainable code that meets GitLab standards for reliability and performance, helping reduce regressions and maintain backend systems at scale.
• Partner with product management and engineering peers to deliver backend capabilities that improve detection, validation, remediation, and audit trail coverage across the secret management lifecycle.
• Improve detection quality by reducing false positives, strengthening secret validation workflows, and enabling faster, more effective remediation paths.
• Contribute to code reviews, RFCs, and proof-of-concept work that guide technical approaches across the Secret Detection category.
• Identify technical debt and operational inefficiencies, then propose and implement practical improvements.
• Diagnose performance and optimization issues in backend systems and implement improvements that increase efficiency, scalability, and service reliability.
• Work effectively in a globally distributed, async-first team while participating in planning, engineering discussions, and pairing when needed.

Requirements

• Experience building backend applications and services using Ruby on Rails, with working knowledge of GraphQL and interest in backend-focused product development.
• Experience designing and delivering secure, maintainable systems that power production web applications at scale.
• Knowledge of security concepts, common vulnerabilities, mitigation techniques, and secure coding practices.
• Background developing or working with security tools or products, especially in areas related to code scanning or secret detection.
• Experience investigating performance issues and improving backend reliability, efficiency, and maintainability.
• Ability to work closely with cross-functional partners, including product, design, and technical writing, to deliver useful product outcomes.
• Communicate clearly in writing and in conversation, especially in remote, async-first environments with distributed teams.
• Bring transferable experience and a willingness to grow into parts of the security or Go stack.

About the Team

The Secret Detection team owns GitLab's Secret Detection category, and we build the backend systems and related user workflows that help developers identify and mitigate exposed secrets as code is contributed.

We work with the broader security product suite while maintaining focused investment in secret scanning quality, validation, remediation, and developer experience.

Our work spans Rails and Go services, and we work primarily asynchronously across time zones as a globally distributed team.

Current opportunities include expanding coverage across the secret management lifecycle and improving result quality across the findings our tools detect.

For more on how we work, see the Team Handbook page.

Benefits

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

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As an Engineering Manager, GTM Engineering, you will lead the engineering team responsible for Brex's GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.

Responsibilities:

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth.
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus points:

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start-up.

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta's Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers Enterprise West, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you'll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you'll bring to the role

• 8+ years pre-sales engineering experience and solution selling
• A passion to serve the Customer, demonstrated in a customer-facing role, such as presales or professional services, but ideally in a pre-sales capacity
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, backend (Java, C#, Node.js, Python) development, scripting (Bash, Powershell, Perl)
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• You're an exceptional communicator, adept at simplifying complex technical concepts for diverse audiences, including highly skilled experts in large group settings
• A confident and articulate presenter, you excel at sharing knowledge and insights with experienced technical professionals and large expert audiences
• Demonstrated ability to effectively communicate complex technical information to highly skilled and experienced audiences, whether one-on-one or in large presentations
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Typically 25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred

You ideally have

• Proven experience designing, implementing, and managing Privileged Access Management (PAM) solutions in enterprise environments
• Deep understanding of the challenges and best practices associated with securing privileged accounts, including just-in-time (JIT) access, session recording, credential vaulting, and secrets management
• Practical experience managing Windows Server, Active Directory, LDAP, and Federation services
• Proficiency in UNIX/Linux, database security, network security, scripting, and DevOps practices preferred
• Relevant experience with enterprise applications, security management, systems management, identity management, and/or policy management solutions, particularly in the areas of Identity and Privileged Access

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Auth0 secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About Okta

Okta is the World’s Identity Company. We enable everyone to safely use any technology,anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

Job Description

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

Responsibilities

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.

• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.

• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.

• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.

• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.

• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.

• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

Requirements

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.

• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.

• Native-level Japanese proficiency with excellent communication and reading comprehension skills.

• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.

• Joy in spreading industry-leading solutions that benefit society.

• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.

• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organisation using sales methodologies such as SPIN, Solution Selling, or MEDDICC.

• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.

• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).

• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.

• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.

• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.

• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).

• Experience speaking at technical conferences/webinars or writing technical blogs.

• Experience working as a software developer.

• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits

• Social Impact (Okta for Good)

• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organisation has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live.

Find your place at Okta today!

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Identity and Access Management (IAM) Expertise:

• 5+ years of pre-sales engineering experience in IAM.
• Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
• Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.

Technical Proficiency:

• Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Experience working with REST APIs, API Gateways, and SDKs.
• Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
• Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).

Customer Engagement & Communication:

• Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
• Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
• Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.

Strategic & Organizational Skills:

• Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Education & Travel:

• Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
• Typically 25% travel.

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Engineering Manager, GTM Engineering

Job Description

Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software. This enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

About Brex

Brex is an intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. It provides global corporate cards and banking combined with intuitive spend management, bill pay, and travel software.

What You'll Do

You will lead the engineering team responsible for Brex's GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.

Responsibilities

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth.
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus Points

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start-up.

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineering Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customised product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey.

We believe Okta’s Solutions Engineers empathise with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilise both.

As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineering, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions

Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs

Answer product feature and technical questions from customers, partners and Okta colleagues

Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed

Provide feedback to product management about product enhancements that can address customer needs and provide additional value

Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team

Stay current on competitive analysis and market differentiation

Support marketing events including executive briefings, conferences, user groups, and trade shows

What you’ll bring to the role

5+ years pre-sales engineering experience, selling SaaS products

A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity

An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard

Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)

Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications

An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)

Exceptional communicator

Confident dispensing knowledge to highly-skilled and experienced audiences

Typically 25% travel

Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred

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At Brex, we're the intelligent finance platform that enables companies to spend smarter and move faster. Our platform combines global corporate cards and banking with intuitive spend management, bill pay, and travel software. We're looking for an experienced Engineering Manager to lead our GTM Engineering team, responsible for building and optimising our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems.

As an Engineering Manager, you will lead a high-performing team of product engineers, driving the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems. You will champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.

Responsibilities:

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritised engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth.
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus points:

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start-up. We value entrepreneurial spirit & scrappiness!

Compensation:

The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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In this role, you will specialise in backend development, designing and optimising robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform.

Responsibilities:

• Develop and optimise microservices for high-concurrency transactions using Go, Postgres, and Kafka.
• Collaborate on system architecture, testing, and monitoring to ensure uptime and performance.
• Build internal tools using frontend technologies as needed to support operational efficiency.
• Support the Technical Lead in risk mitigation and align with engineering, product, and compliance teams to drive project success.
• Contribute to the development of secure, scalable systems for handling financial data and transactions.
• Iterate rapidly on feedback to deliver high-quality solutions in a dynamic environment.

Basic Qualifications:

• 5+ years of software engineering experience, with a strong focus on backend development.
• Proficiency in Go or similar languages and experience with databases (e.g., Postgres) and streaming systems (e.g., Kafka).
• Familiarity with building distributed systems for high-scale, low-latency environments.
• Knowledge of handling secure financial data.
• Ability to contribute to frontend development for internal tools when required.
• Strong communication and problem-solving skills, with a collaborative mindset.

Preferred Skills and Experience:

• Experience in fintech, payments, or regulatory frameworks (e.g., PCI-DSS, AML/KYC).
• Prior work in a fast-paced, startup-like environment on greenfield projects.
• Comfort navigating ambiguous requirements and iterating based on feedback.
• Passion for leveraging AI to transform financial systems.

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In this role, you will work with engineers, designers, and Product Managers to break down roadmap initiatives into well-scoped, executable work. You will test, document, and maintain a codebase that is an example to our engineers and supports the scale of the business.

To succeed in this role, you will need 5-10 years of relevant software engineering experience building production web applications. You should have strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) development as your primary discipline, and working knowledge of the other side of the stack. You should also have hands-on experience with relational and NoSQL databases, familiarity with search technologies, and experience with RESTful API design and backend service development.

Strong interpersonal and communication skills, as well as the ability to take end-to-end ownership, are essential for this role.

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As a Software Engineer III - Python, you will design and develop complex, large-scale distributed systems that handle millions of customer requests daily. You will take ownership of customer-facing features and continuously deliver improvements that empower users with actionable insights from our platform.

Key Responsibilities:

• Design and Develop: Build and deploy complex, large-scale distributed systems that handle millions of customer requests daily.
• Customer-Facing Innovation: Take ownership of customer-facing features and continuously deliver improvements that empower users with actionable insights from our platform.
• 3rd Party Integrations: Develop and integrate with external conferencing and communication platforms using various SDKs and APIs.
• Collaboration: Work closely with cross-functional teams including product managers, data scientists, and front-end engineers to deliver a seamless user experience.

Requirements:

• Backend Development: 5+ years of experience in software development, with expertise in Python (preferred), NodeJS, Java, or Scala.
• Distributed Systems: Proven experience in designing and developing distributed microservices and large-scale systems.
• API Development: Strong understanding and hands-on experience with RESTful API standards.
• Cloud Infrastructure: Experience working with cloud-based platforms, ensuring performance, scalability, and security of services.
• Database Management: Familiarity with both NoSQL and SQL databases, optimizing for performance and scalability.
• Communication & Leadership: High interpersonal skills, with the ability to communicate technical ideas clearly and mentor junior engineers.
• Adaptability: A willingness to work with a variety of technologies and to take ownership of different parts of the product.

Education: BSc in Computer Science, Mathematics, Software Engineering, or equivalent professional experience.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Senior Sales Engineer - Strategic Accounts- Northeast U.S.

Position Description:

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology. We believe in Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform.

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximise the Okta opportunity in those accounts

• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology

• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed

• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies

• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.

• Distil and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience

• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering

• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard

• A Strong Understanding of Identity & Access Management (IAM)

• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.

• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.

• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)

• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications

• Experience with cloud platforms: AWS, Azure, GCP.

• You are an elite communicator

• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.

• Confident dispensing knowledge to a highly skilled and experienced audience

• Typically 10-25% travel

• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

• This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.

#LI-Remote

Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $192,000-$288,000 USD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Okta secures every identity, from AI to human identity, enabling organisations to safely embrace the new era of AI. This work requires a relentless drive to solve complex challenges with real-world stakes.

Job Duties and Responsibilities:

Partner with the regional sales team to develop strategic and technical account and territory plans. Support customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations. Develop confidence to communicate with stakeholders at all levels of the customer's organisation, including CxO, security, developers, Product Managers and IT administrators. Serve as the key technical advisor for customers, leading the technical solutioning phase for customers, partnering with the sales team and our partners. Act as the Technical Advocate for customers, with Internal Okta teams. Execute well-defined, outcome-focussed POCs. Build and manage technical relationships with Okta Customers, Technology Partners and Delivery Partners. Participate in Okta Marketing led events, as a Speaker / Thought Leader and an attendee. Enjoy travelling and meeting customers. Travel will be mainly domestic. There may also be opportunities to travel to other Asia Pacific countries to support teammates; and within the US for training and conferences.

Skills & experiences that will help in the role:

Minimum of 1-2 years experience in a pre-sales consulting role, or customer facing consulting role. Strong communication skills, written and verbal, and an ability to quickly communicate complex ideas around a technical topic, using various means, including in front of a whiteboard. Communicate effectively with stakeholders at all levels of the customer's organisation, including CxO, security, developers, and IT administrators. Ability to be organised and analytical, and eliminate sales obstacles using creative and adaptive approaches. A passion to be in the forefront of technology, learning a diverse set of technologies that Okta integrates with and helping solve real world Identity challenges. Enjoy being in a fast paced environment, operating at the speed of cloud, to help customers accelerate their journey to the cloud, rapid adoption of technology and design their Zero Trust security strategy with Identity as the foundation.

You might also have (not mandatory):

Experience with Identity & Access Management, Single Sign-on, Security and API-based solutions. Experience with at least one standard network security protocol (eg. OAuth 2.0, OpenID Connect, SAML, LDAP). Proficient in either IT Security, Identity and Access Management or Developer domains. Bachelor's degree in Engineering, Computer Science, MIS or a comparable field. Hands-on experience in one or more of the following areas: web development (JavaScript, HTML, frontend frameworks), mobile development (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications. Software developer experience.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionising the field of identity security, providing comprehensive solutions to address the challenges faced by modern organisations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance.

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes

• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring

• Collaborate with product and R&D engineers to translate product requirements into technical solutions.

• Identifying and resolving technical issues and performance bottlenecks.

• Staying up to date with the latest industry trends and technologies to continuously improve our products.

• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.

• 5+ years of programming experience with Python, specifically focused on backend development.

• A proven track record of successfully building and delivering large-scale systems.

• Solid understanding of software engineering principles, design patterns, and best practices.

• Excellent problem-solving skills and a detail-oriented mindset.

• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.

• Experience with Amazon Web Services and modern cloud stack.

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
• Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
• Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
• Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
• Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
• Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
• Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth.
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Experience architecting and building growth surfaces or marketing engineering systems.
• Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
• Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
• A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.

Bonus points

• Experience managing remote or distributed engineering teams.
• Experience with B2B growth.
• You have started your own technology venture or were a foundational engineering member of an early-stage start-up. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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GitLab is the intelligent orchestration platform for DevSecOps. As an Intermediate Backend Engineer, you'll guide the design and development of backend systems that help the company identify customer usage patterns across GitLab SaaS and Self-Managed deployments. That data informs product decisions.

This role offers the opportunity to build foundational infrastructure that makes instrumentation simpler and more reliable for teams at GitLab.

Responsibilities:

• Design, build, and maintain a unified Go-based instrumentation service that consolidates instrumentation across the entire company, eliminating the need for multiple language-specific SDKs while maintaining reliability and performance.

• Manage the handling of the sending, transit, and quality of instrumentation data across the system, ensuring data integrity that directly impacts the company's key prioritization and usage billing accuracy.

• Train and assist product development teams across the company on how to instrument their features using the unified service, providing documentation, guidance, and technical help.

• Manage on-call duties during working hours for systems that handle usage billing and instrumentation, ensuring system reliability and quick response to critical issues.

• Work across research and development teams and the enterprise data organization to identify requirements and deliver solutions that serve multiple stakeholders.

• Make key architectural decisions that balance the needs of product teams (who need ease of use) with data consumers (who need reliability and correctness), ensuring the system serves as a foundational service for the company.

Requirements:

• Proficiency in the Go programming language, with experience building and maintaining production services.

• Strong backend development experience, with the ability to design scalable, reliable systems serving internal and external customers.

• Experience with infrastructure concerns such as system reliability, performance at scale, data quality, and observability.

• Experience designing and building APIs (REST, gRPC, or similar) that other teams integrate with.

• Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries.

• Experience with instrumentation, analytics, data systems, or similar foundational infrastructure in application environments such as Ruby on Rails or comparable stacks.

About the Team:

Our team is part of the Data Engineering organization and runs a foundational service used by all research and development teams at GitLab. We manage the systems that send, transport, and validate instrumentation data across the company, giving us visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments. This data informs usage billing and product planning. We're building a unified, Go-based instrumentation service that replaces multiple language-specific SDKs, making it easier for teams to instrument their features while ensuring data integrity for billing and analysis.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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We are seeking an experienced Backend Engineer to join our team in India. As a Backend Engineer, you will be responsible for designing and developing backend systems that help the company identify customer usage patterns across GitLab SaaS and Self-Managed deployments.

Responsibilities:

• Design, build, and maintain a unified Go-based instrumentation service that consolidates instrumentation across the entire company, eliminating the need for multiple language-specific SDKs while maintaining reliability and performance.

• Manage the handling of the sending, transit, and quality of instrumentation data across the system, ensuring data integrity that directly impacts the company's key prioritization and usage billing accuracy.

• Train and assist product development teams across the company on how to instrument their features using the unified service, providing documentation, guidance, and technical help.

• Manage on-call duties during working hours for systems that handle usage billing and instrumentation, ensuring system reliability and quick response to critical issues.

• Work across research and development teams and the enterprise data organization to identify requirements and deliver solutions that serve multiple stakeholders.

• Make key architectural decisions that balance the needs of product teams (who need ease of use) with data consumers (who need reliability and correctness), ensuring the system serves as a foundational service for the company.

Requirements:

• Proficiency in the Go programming language, with experience building and maintaining production services.

• Strong backend development experience, with the ability to design scalable, reliable systems serving internal and external customers.

• Experience with infrastructure concerns such as system reliability, performance at scale, data quality, and observability.

• Experience designing and building APIs (REST, gRPC, or similar) that other teams integrate with.

• Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries.

• Experience with instrumentation, analytics, data systems, or similar foundational infrastructure in application environments such as Ruby on Rails or comparable stacks.

About the Team:

Our team is part of the Data Engineering organization and runs a foundational service used by all research and development teams at GitLab. We manage the systems that send, transport, and validate instrumentation data across the company, giving us visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments. This data informs usage billing and product planning. We're building a unified, Go-based instrumentation service that replaces multiple language-specific SDKs, making it easier for teams to instrument their features while ensuring data integrity for billing and analysis.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

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As a Senior Data Engineer, you'll lead the design, implementation, and testing of data systems, from architecture to production. You'll build batch and real-time data systems that support business needs and critical products, ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.

You'll collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. You'll maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.

Key responsibilities include:

• Leading the design, implementation, and testing of data systems, from architecture to production
• Building batch and real-time data systems that support business needs and critical products
• Ensuring data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices
• Collaborating with cross-functional teams to develop scalable systems and drive data-driven decisions
• Maintaining strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems

We're looking for someone with 9+ years of relevant experience, a Bachelor's/Master's degree in CS/EE, and extensive experience in designing, building, and operating distributed data platforms. You should be proficient in Java, Scala, or Python, with strong skills in data processing and SQL querying. Proven track record of designing and optimizing batch and real-time data pipelines is a must.

In addition to technical expertise, we're looking for someone with excellent written and verbal communication skills, with the ability to influence stakeholders and convey complex technical concepts. You should be a strong leader and mentor, with experience guiding teams on best practices and technical strategies.

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As a Simulation Applications Engineer, you will be responsible for designing and developing our operator training platform. A successful applicant will bring multifaceted backend and simulation tools expertise to create comprehensive training applications used to train Operators of Shield AI's UAVs in the field.

Responsibilities:

Perform generalist backend development for our operator training platform (OTT) Work with our training team to align on designs that bring about the best user experience and our internal engineering teams to support their development. Build out containers and integrate with other software applications to make the simplest workflows as possible on Linux and Windows. Perform DevOps for deployment, testing, containerization, and ongoing support of the OTT using both Windows and Linux Optimize performance and scalability of the simulation application to support complex training scenarios and multiple concurrent users. Rapidly prototype and evaluate new technologies to keep the training system at the cutting edge.

Required Qualifications:

BS in Computer Science or related engineering field with 3+ years of professional experience. Strong foundation in Python. Passion for creating an amazing user experience in a complex system. Backend experience with standalone and web-based applications Eagerness to learn, adapt, and grow in a collaborative team environment, with a proactive approach to problem-solving and communication. Eligible to obtain a clearance.

Preferred Qualifications:

Experience with TypeScript, Java, and C++ Experience creating and modifying DevOps pipelines Experience with Data Analysis tactics and designs Experience with Containerization Interest in aerospace and autonomous vehicles

$105,000 - $200,000 a year

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SpruceID builds privacy-preserving, standards-based digital identity and credentialing solutions that give individuals control of their information while enabling governments and enterprises to deliver secure, interoperable services.

The Opportunity

We're looking for multiple Full-Stack Engineers to join our forward-deployed engineering team. You'll work alongside experienced engineers and directly with state governments, public sector partners, and enterprise clients to help design, build, and deploy impactful identity solutions. This is an ideal role for a recent graduate who wants to grow quickly while working on technology that matters. You'll gain hands-on experience across the full stack, learn from senior engineers, and contribute to systems that serve millions of people.

This is a fully remote role open to candidates based in the United States.

Responsibilities

• Collaborate with customer delivery leads, engineers, and UX designers on real-world deployments.
• Build full-stack features for state governments and public sector partners, with guidance from senior engineers.
• Learn to translate customer requirements into technical solutions and production-ready systems.
• Develop backend services and web applications that meet public sector security, privacy, and accessibility standards.
• Contribute to codebases spanning backend, mobile, and browser environments.
• Participate in customer deployments and learn the full lifecycle of software delivery.
• Engage with open identity standards and privacy-focused engineering practices.

Our Commitment to Your Growth

We believe in investing in early-career engineers. As a new grad at SpruceID, you'll receive:

• Dedicated mentorship from senior engineers who will guide your technical development.
• Structured onboarding to get you up to speed on our stack, our standards, and our customers.
• Regular 1:1s and feedback to help you set and achieve career goals.
• Opportunities to own projects as you grow, with appropriate support and guardrails.
• Exposure to the full product lifecycle,from customer discovery to production deployment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (recent graduates welcome).
• Foundational experience with backend development in a statically typed language (Rust, Go, C#, Java, or similar),coursework, internships, or personal projects count.
• Demonstrated ability to learn quickly and work collaboratively.
• Strong communication skills and genuine interest in working with customers and stakeholders.
• Appreciation for open-source software, clean code, and thoughtful engineering.
• Based in the U.S. (or willing to relocate without visa assistance - TN are ok) and excited to contribute to impactful public sector work.

Nice to Have

• Internship or project experience in full-stack development.
• Exposure to cloud platforms (AWS, GCP, or Azure) through coursework or side projects.
• Interest in digital identity, cryptography, data privacy, or security.
• Familiarity with modern web frontends (React, TypeScript, or similar).
• Familiarity with databases (PostgreSQL), APIs (REST or GraphQL), or CI/CD concepts.
• Contributions to open-source projects or hackathon participation.
• Coursework or interest in accessibility, usability, or inclusive design.
• Any exposure to government technology, civic tech, or high-compliance environments.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a company with a diverse workforce and teams distributed between France, USA, UK, Germany and Singapore. We are looking for passionate and skilled software engineers to join our team.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

System Architecture

• Design and implement efficient, secure and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

Code Quality

• Write clean, maintainable and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.

Cross-functional Collaboration

• Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

Problem-Solving & Innovation

• Tackle complex engineering challenges, from distributed systems to AI product integration.
• Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Experience Level

This role is suitable for entry-level, mid-level, senior-level, and staff-level engineers.

Employment Type

This is a full-time position.

Workplace Type

This role is based in one of our European offices (Paris, France and London, UK).

Category

This role falls under the category of Engineering.

Industry

This role is in the Technology industry.

Salary Range

The salary range for this position is competitive and will be discussed during the hiring process.

Required Skills

• Python
• Backend development
• APIs
• Databases
• Caching
• Messaging systems
• Distributed architectures

Preferred Skills

• Front-end development
• Infrastructure management
• AI/ML engineering
• Observability and monitoring tools
• UX and product-centric mindset

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Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Code Quality: Write clean, maintainable, and well-documented code.
• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration.

You will be working closely with our team to design, develop, and deploy scalable and reliable systems that meet the needs of our users.

We are looking for someone with a strong background in software engineering, a passion for building scalable systems, and excellent communication skills.

Responsibilities:

• Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
• Ensure high performance and reliability across our distributed systems.
• Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
• Design and implement efficient, secure, and scalable architectures that support our fast-growing products.
• Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to technical standards and best practices.
• Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features.
• Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
• Tackle complex engineering challenges, from distributed systems to AI product integration.

Requirements:

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of relevant work experience.
• Proficiency in Golang or another backend language (Python, Rust…).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Nice to have:

• Front-end development (Typescript, React, NextJS…)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform…)
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. We are a low-ego and team-spirited organisation.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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That’s what our Risk product engineering teams do at Mercury. We guide thousands of business applications through our systems,each one unique, each one needing a smooth and trustworthy landing. The challenge: keep everything moving fast without compromising safety. Every day, our work helps founders open their first account, launch their next idea, and accelerate their growth like rocketships.

Our mission is to build the intelligent, automated systems and operational tools that make this possible,where machine learning, AI, and human judgment work seamlessly together to power the next generation of business banking*. We use intelligence to detect risks earlier, make real-time decisions with confidence, and enable instant, delightful account approvals that keep pace with the builders we serve.

When we do it right, the result is quiet brilliance: onboarding that feels effortless, even though it’s powered by galaxies of data, precision, and care.

We’re looking for a Staff Software Engineer to contribute with building the systems and tools that make it all happen,from application approvals to ongoing and enhanced due diligence,ensuring every business that joins Mercury is both safe and their experience is delightful.

As part of this role, you will:

• Lead the architecture, implementation, and long-term roadmap for core systems which support multiple fraud prevention use cases.
• Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, and drive teams to measurable outcomes.
• Design, build, and operate highly available, low-latency, backend systems that enable real-time scoring and decisioning for fraud prevention.
• Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving.
• Establish and elevate department level best practices, review designs, drive engineering quality, and act as a trusted advisor on architectural tradeoffs.
• Mentor and grow engineers, documenting learnings and sharing technical direction through writing, 1:1s, and team meetings
• Navigate and influence multiple stakeholders, help align teams, communicate tradeoffs to technical and non-technical partners, and independently resolve cross team issues.

The ideal candidate for the role:

• Has 7-10+ years of software development experience, with a strong focus on the backend, with a knowledge of or excitement to learn Haskell.
• Has been an experienced technical lead making architectural decisions in the past and seen the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs.
• Is passionately product-minded and has experience building and shipping new products balancing reliability and velocity.
• Is someone comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and delights in getting outcomes. Our work touches many other teams and areas of the product; you’ll have a lot of autonomy and the expectation is you’ll use that to seek out ways to have an impact.
• Is ridiculously helpful, taking initiative to make your coworkers’ lives easier by investing time to mentor and proactively share your knowledge and learnings through writings, 1:1s, and team meetings.
• Experience in fintech, fraud systems, or the broader risk domain is a strong plus.

If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com .

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - $298,800
• Canadian employees (any location): CAD 225,900 - 282,400

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As a Software Engineer - Product, you will work in an autonomous environment on a close-knit team, with a 'startup within a startup' feel. You will partner closely with designers and product leaders to ship lovable experiences, and join a small but mighty team of experienced product engineers within one of our Mercury product groups.

The ideal candidate for the role has 1-4 years of backend or full-stack development experience, with knowledge of or excitement to learn Haskell, React, TypeScript, and Redux. They should be passionately product-minded and have experience building and shipping new products, empathize with users, and communicate and collaborate effectively with peers and cross-functional counterparts.

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry.

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At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries,building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect,where the most ambitious AI work inside Mercury lifts the velocity of everyone else.

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it.

You'll build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers. Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams. Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely.

You'll shape and maintain structured context artifacts,clean, reliable, agent-consumable,so LLMs working in Mercury's systems can reason accurately about our domain. Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers. Partner with domain teams to standardize key sources of truth, and keep them fresh.

You'll build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed. Create self-service scaffolding so non-engineers,PMs, ops, finance,can prototype and deploy AI-powered workflows with minimal hand-holding. Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production.

This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work.

The ideal candidate has 5+ years of backend development experience in complex, production systems,you've built things that other engineers depended on. Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map. Has hands-on experience building LLM-powered systems,RAG pipelines, agents, eval frameworks,and has shipped at least one of these to production. Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety,not just the exciting parts. Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done. Communicates clearly across technical and non-technical audiences,you can explain what you built and why it matters.

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As a senior backend engineer, you will work in an autonomous environment on a close-knit team, with a "startup within a startup" feel. You will partner closely with designers and product leaders to ship lovable experiences.

Responsibilities:

• Feel a strong sense of product ownership and actively seek responsibility
• Work in an autonomous environment on a close-knit team
• Partner closely with designers and product leaders to ship lovable experiences
• Join a team of experienced product engineers within one of our Mercury product groups such as Banking, Experiences, Expansion, or Risk

Requirements:

• 3-7 years of backend development experience
• Knowledge of or excitement to learn Haskell, and proficiency in SQL
• Empathizes with users and can channel their perspective to build lovable products
• Has made architectural decisions in the past and measured the impact of those decisions over time
• Communicates and collaborates effectively with peers and cross-functional counterparts

Total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry.

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Responsibilities:

• Design and develop storage systems, job scheduling systems, data ingestion frameworks, monitoring frameworks, and other essential platform components to ensure high system performance and availability.
• Build and maintain backend frameworks that support essential platform features.
• Develop scalable, high-performing, and reliable services optimized for handling complex workloads and high-traffic loads.
• Develop and improve monitoring and logging frameworks to provide deep visibility into system performance, reliability, and application health.
• Collaborate with cross-functional teams across our US and India offices.

Requirements:

• BS in Computer Science or related degree; MS or PhD preferred.
• 7+ years of full lifecycle software development experience.
• Deep expertise in Java (version 17 or later) and hands-on experience with Spring or other similar frameworks.
• Strong object-oriented design and development skills.
• Hands-on experience with containerization and Kubernetes.
• Several years of backend experience with Java, C++ or similar languages.
• Strong verbal and written communication skills.

Nice to Haves:

• Experience with REST APIs, as well as with frameworks such as Spring or Hibernate.
• Big Data and NoSQL experience.

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About the role:

Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This role is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

This is not a pure research role , it is about building production-grade infrastructure that enables AI Agents to operate reliably in mission-critical customer environments.

Why This Role Is Unique:

• AI + Real-Time Systems: Work on infrastructure that enables AI Agents to participate in live conversations at scale.
• Enterprise-Grade Integrations: Design robust integrations with major CCaaS platforms and customer systems.
• Human-AI Collaboration: Build the systems that make AI-to-human handoff seamless, contextual, and reliable.
• High-Impact Engineering: Your work directly determines how smoothly AI Agents operate in production environments.

If you’re a strong backend engineer who wants to apply your expertise to real-world AI systems operating inside complex enterprise ecosystems, this role offers that opportunity.

Responsibilities:

• Design and build scalable backend services that integrate Cresta’s AI Agents with customers’ CCaaS platforms.
• Architect systems that manage real-time conversation state, context propagation, and session lifecycle.
• Implement seamless AI-to-human handoff mechanisms, ensuring full context transfer and minimal disruption to the customer experience.
• Develop secure and reliable integrations with CCaaS APIs (voice, chat, messaging, routing, agent desktop, etc.).
• Collaborate closely with ML engineers and AI researchers to operationalize AI Agent capabilities in live environments.
• Ensure high availability, low latency, and strong observability for real-time conversation systems.
• Implement authentication, authorization, compliance, and enterprise security best practices across integrations.
• Drive improvements in reliability, performance, and scalability in production environments handling high interaction volumes

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience building scalable backend systems in production environments.
• Strong experience designing and maintaining robust APIs (REST, gRPC).
• Solid understanding of distributed systems and real-time communication architectures.
• Experience integrating with third-party enterprise platforms and APIs.
• Experience working with CCaaS platforms or contact center systems is a strong plus.
• Familiarity with AI Agents, Virtual Agents, or LLM-based systems is a plus.
• Experience with containerized environments (Kubernetes, Docker).
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of system reliability, observability, and security in enterprise environments.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

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The Role Belong is seeking a Junior Backend Engineer with a strong foundation in C# who is eager to grow, learn, and contribute to both backend development and day-to-day production operations. This role is ideal for someone early in their career who wants meaningful ownership, exposure to real production systems, and the opportunity to work across engineering and business operations.

Responsibilities Backend Engineering Develop and maintain backend services and APIs using C#/.NET. Contribute to new features, enhancements, and bug fixes across our core systems. Write clean, maintainable, tested code with guidance from senior engineers. Participate in code reviews, design discussions, and sprint ceremonies. Collaborate with cross-functional partners to understand requirements and deliver improvements.

Production Support & Operations Execute operational workflows such as: Initiating and validating homeowner payouts Sending security deposits Investigating payment failures and resolving root causes Working directly with our providers Performing lease corrections and ensuring data accuracy Monitor system health and escalate issues when necessary Help improve internal tools and automation to reduce manual work across teams. Document recurring issues and contribute to long-term fixes.

AI-Enabled Productivity Use AI-driven tools to accelerate development, debugging, testing, and repetitive operational tasks. Identify opportunities to automate manual workflows in partnership with engineering and operations teams.

What We’re Looking For 1–3 years of software engineering experience, ideally in backend development. Solid understanding of C#, .NET, and RESTful APIs. Interest or experience in production operations, support tasks, or QA-like validation work. A proactive, detail-oriented mindset with a high sense of ownership. Ability to troubleshoot issues across systems and communicate findings clearly. Willingness to collaborate with both technical and non-technical teams. Curiosity, humility, eagerness to learn, and comfort asking questions.

Why Belong We’re transforming one of the most broken industries (housing) into something fundamentally better. Work with experienced, talented engineers and leaders who love mentoring and helping junior developers grow. AI isn’t a side project,it’s embedded across our engineering philosophy and roadmap. Competitive compensation, equity, and benefits. A high-trust environment with real ownership, clear growth paths, and meaningful impact. If you’re excited to grow your backend engineering skills while supporting high-impact operational systems that help people love where they live, we’d love to talk. Apply now.

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Responsibilities:

• Develop and implement tooling and platforms to support interactive content tools (e.g., calculators, generators, templates) that provide utility to current and prospective businesses.
• Utilize a user-first mindset to implement feedback mechanisms for continuous improvement of content and product offerings.
• Design and build integrations to third-party software and create seamless workflows across these tools to unleash their full potential to the rest of Stripe.
• Work with a small team of technically sophisticated engineers who put users first.

Requirements:

• 2+ years of backend and/or full stack development experience, with emphasis on creating user-facing experiences.
• Experience writing clear, elegant code in a team environment.
• Passion for engineering solutions focused around growth hacking & enablement.
• Excellent verbal and written communication.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a pioneering company shaping the future of AI. Our comprehensive AI platform meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.

• Code Quality: Write clean, maintainable and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 min
• Live-coding interview - 45 min
• System Design interview - 45 min
• Hiring Manager interview - 30 min
• Deep Dive Interview (only for leads & staff engineers) - 60 min
• Culture-fit discussion - 30 min
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global organisation with a diverse workforce distributed between France, USA, UK, Germany, and Singapore. Our teams are passionate about AI and its potential to transform society.

Role Summary

We are seeking passionate and skilled software engineers to join our team. As a Backend Engineer, you'll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale.

Responsibilities

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

• Backend Development: Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks. Ensure high performance and reliability across our distributed systems. Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.

• System Architecture: Design and implement efficient, secure, and scalable architectures that support our fast-growing products. Collaborate with infrastructure teams on deployment, monitoring, and performance optimisation.

• Code Quality: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to technical standards and best practices.

• Cross-functional Collaboration: Work closely with product managers, front-end engineers, designers, and data/AI engineers to deliver end-to-end features. Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.

• Problem-Solving & Innovation: Tackle complex engineering challenges, from distributed systems to AI product integration. Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.

About You

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang).
• Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems, and distributed architectures.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset, and curiosity for learning.

Now, it would be ideal if you had experience with:

• Front-end development (Typescript, React, NextJS...)
• Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
• AI/ML engineering
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric mindset.

Hiring Process

• Introduction call - 45 minutes
• Live-coding interview - 45 minutes
• System Design interview - 45 minutes
• Hiring Manager interview - 30 minutes
• Deep Dive Interview (only for leads & staff engineers) - 60 minutes
• Culture-fit discussion - 30 minutes
• Reference checks

Our Culture

We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:

• Reason with rigor
• Are you audacious enough?
• Make our customers succeed
• Ship early and accelerate
• Leave your ego aside

Engineering blog

Our first Engineering blog post is live, you can check it out here!

XML job scraping automation by YubHub

Location

Munich, Germany

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $302K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field.

You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%.

In this role you will

• Lead and grow a team of FDE delivering production systems with frontier models

• Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality

• Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community

• Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices

• Use judgement to distinguish what requires action and what does not

• Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback

• Define how we staff and support field teams that can scale without added complexity

You might thrive in this role if you

• Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers

• Have led high-pressure technical projects from prototype to production

• Write and review production-grade code across frontend and backend using Javascript or Python

• Simplify complex work and make fast, sound decisions under pressure

• Elevate team performance through clarity, not process

• Operate with urgency in ambiguous or evolving environments

• Translate field experience into sharp, actionable feedback for Product and Research

• Build deep trust with your team by modeling calm, focus, and judgment when it matters most

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Seattle

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $162K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The ChatGPT team operates at the intersection of research, engineering, product, and design to bring OpenAI’s technology to a global audience.

Within ChatGPT, the Growth Partnerships team is dedicated to expanding distribution, unlocking new user acquisition channels, and building high-leverage integrations that deliver ChatGPT to users where they are. Working closely with external partners and internal platform teams, we design product experiences, APIs, and growth surfaces that scale adoption while upholding trust and safety.

Our work is multidisciplinary—merging product, engineering, and business impact to transform partnerships into sustainable growth engines for ChatGPT.

About the Role

We are seeking an experienced Full Stack Engineer to join the ChatGPT Growth Partnerships team and help establish the technical foundation that underpins partner-led growth. You will work on end-to-end product experiences—including frontend applications, backend services, APIs, experimentation, and data—that facilitate seamless integrations, onboarding, activation, and monetization through partners.

This high-impact role is ideal for engineers who thrive in fast-paced, ambiguous settings, can move from concept to launch, make sound product and technical judgments, and deliver quickly while maintaining robust engineering standards.

Responsibilities

• Build and own full-stack product experiences supporting partner integrations, onboarding flows, activation funnels, and growth surfaces.

• Design and develop backend services and APIs for scalable, secure partner experiences.

• Collaborate with product, partnerships, design, data science, and research teams to translate strategy into shipped product.

• Lead experimentation initiatives (A/B tests, metrics, instrumentation) to understand drivers of adoption, retention, and value through partnerships.

• Identify leverage points where small technical innovations can unlock significant growth impact.

• Establish best practices for building extensible, partner-friendly systems at scale.

• Contribute to a culture of ownership, clarity, inclusiveness, and thoughtful debate within engineering.

You Might Thrive in This Role If You

• Have delivered full-stack features on the web that drive user acquisition, activation, or monetization (e.g., onboarding, integrations, dashboards, purchase flows).

• Are comfortable with frontend and backend development, including API and service design, as well as data flows.

• Think with a system-level perspective and focus on scalability and long-term robustness.

• Are highly analytical, experienced in experiment design, and able to connect technical work to business outcomes.

• Enjoy navigating ambiguity and structuring new problem areas.

• Possess strong product intuition and prioritize user- and developer-friendly experiences.

• Are motivated by impact and inspired to help shape how partnerships fuel ChatGPT’s growth.

Location

San Francisco, New York, or Seattle

Work Type

Full-time

Join us to help grow the ChatGPT partner ecosystem and reach millions of users through thoughtful engineering and product leadership.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Remote - US; San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $153K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

About the Role

We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains.

In this role, you will:

• Own the full product development lifecycle for new people products end-to-end

• Talk to internal stakeholders to understand their problems and design solutions to address them

• Work with the research team to share relevant feedback and iterate on applying their latest models

• Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products

Your background might look something like:

• 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

• Former founder, or early engineer at a startup who built a product from scratch is a plus

• Interest in building company culture and/or recruiting the world’s most talented people

• Proficiency with JavaScript, React, and other web technologies

• Proficiency with a backend language (we use Python)

• Some experience with relational databases like Postgres/MySQL

• Interest in AI/ML (direct experience not required)

• Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlines

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Design and implement the MCP integration layer, including MCP registry services and MCP endpoints, enabling AI systems and agents to securely discover and interact with enterprise infrastructure tools and platforms.
• Build scalable backend services leveraging expertise in Python that power automation systems, enterprise infrastructure integrations, and AI-driven operational workflows.
• Develop and maintain production-grade DevOps pipelines, including CI/CD workflows, containerized deployments, monitoring, and reliability automation.

What you need

• 10+ years of experience in software engineering, backend development, infrastructure engineering, or platform systems.
• Strong expertise in Python and building scalable backend services, APIs, or platform integration layers.
• Experience designing MCP registry services, MCP endpoints, or similar service discovery and integration layers connecting enterprise systems.
• Strong DevOps experience, including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure automation, monitoring, and reliability practices.
• Hands-on familiarity with modern AI systems including LLM-based services, RAG architectures, or agent frameworks.

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• Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users.

• Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions.

• Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure.

• Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers.

What you need

• Expertise in Python.

• A strong background in backend development.

• Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.

• Knowledge about test design and security fundamentals.

Why this matters

One paragraph about career impact and value.

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