Location: Jeddah, Saudi Arabia
We are seeking a skilled and experienced
Insulation Technician
to install, maintain, repair, and remove thermal, acoustic, and fire-resistant insulation systems on industrial equipment, piping, tanks, vessels, and related structures. The technician will ensure insulation work is completed safely, efficiently, and in accordance with project specifications, drawings, and quality standards.
Key Responsibilities
Install and remove insulation materials on pipes, valves, tanks, vessels, ducts, and equipment.
Apply thermal, acoustic, and fire-resistant insulation systems as specified.
Read and interpret insulation drawings, specifications, and work instructions.
Measure, cut, shape, and fit insulation materials accurately.
Install cladding, jacketing, vapor barriers, and protective coverings.
Inspect existing insulation and identify damaged or deteriorated areas.
Repair and replace insulation as required.
Ensure proper sealing and weatherproofing of insulation systems.
Use hand tools, power tools, ladders, scaffolding, and other equipment safely.
Coordinate with supervisors, welders, pipefitters, mechanical technicians, and other site personnel.
Maintain proper housekeeping and keep the work area clean and organized.
Follow all company and project
HSE (Health, Safety & Environment)
requirements.
Qualifications
High school diploma, technical certificate, or equivalent qualification.
Relevant training or certification in insulation is preferred -
Thermal Insulation Training, HSE Training
Minimum
5 years of experience
as an insulation technician, preferably in industrial, oil & gas, petrochemical, refinery, or construction projects.
Experience working with insulation materials such as mineral wool, rock wool, fiberglass, calcium silicate, PIR/PUR, or similar materials.
Familiarity with aluminum, stainless-steel, or galvanized cladding/jacketing is preferred.
Ability to read basic technical drawings and measurements.
Knowledge of workplace safety requirements and PPE.
Required Skills
Good knowledge of insulation installation techniques.
Ability to accurately measure and cut insulation materials.
Basic understanding of piping and mechanical equipment.
Strong commitment to safety and quality.
Physically fit and capable of performing manual work for extended periods.
Safety Responsibilities
Wear required PPE at all times.
Follow permit-to-work, LOTO, working-at-height, and other applicable safety procedures.
Properly handle insulation materials, cutting tools, and equipment.
Preferred Experience
Experience in the following environments is an advantage:
Oil & Gas
Refineries
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
Mistral is looking for AI Scientists with deep ML expertise and hands-on engineering experience to expand what our agentic tools can do across the engineering lifecycle — CAE (CFD, FEA, etc.) and EDA/Semi.
Working within the AI4Engineering Science team, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold, a rare position, and the core of the job.
Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions.
You'll work closely with domain experts across CAE and EDA or other domains to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence.
This is early-stage work, and that's the point: you'd be joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There's no inherited playbook, you'll help define what good looks like, and your work will set the direction the team builds on rather than extend an existing one.
What you will do
- Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA
- Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility
- Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows
- Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding
- Collaborate with domain experts across CAE and EDA or other domains (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next
- Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization
What we're looking for
- Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences
- Deep, hands-on machine learning expertise, particularly LLM development
- Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of engineering and ML
It would be great if you
- Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks)
- Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training
- Have industrial or academic experience with CAE or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools)
- Have contributed to a large open-source or industry codebase
- Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Software Engineer to help us build the next generation of Agentic Codebases.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy
- Reporting to the Senior Engineering Manager, Developer Productivity
As a Senior Software Engineer, Developer Productivity, you'll:
- Design and build the Nest.js service scaffolding that lets product teams stand up new backend services in our next-generation monorepo
- Implement paved paths, generators, and the platform primitives that make a new service work on day one rather than after a week of wiring.
- Build the seams that let new services run independently of our existing monolith.
- Own the deployment story for services and web applications on Cloudflare, and the interoperability with our existing AWS and Kubernetes estate managed through Pulumi and Argo CD.
- Lead migrations of substantial codebases into the monorepo and turn each one into a repeatable recipe rather than a bespoke effort.
- Partner directly with product teams as platform customers, treating their adoption as the measure of success and their friction as your backlog.
- Raise the leverage of the whole team by encoding what you learn into tooling, generators and agent-assisted workflows, so the next migration costs less than the last.
- Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams.
ABOUT YOU
Requirements:
- BA/BS Degree or equivalent experience
- 5+ years building and operating backend services in production
- Demonstrated experience in backend service design defining service boundaries, contracts and data ownership, not only implementing within them
- Business-level fluency to read, write and speak in English
You'll thrive as a Senior Software Engineer, Developer Productivity, if you:
- Have worked inside a large, heavily-coupled codebase and found the seams: extracting or bypassing functionality incrementally, behind behaviour-preserving contracts
- Are fluent in TypeScript and Node, and comfortable with edge runtimes.
- Have hands-on experience with monorepo tooling at scale (Nx, Turborepo or similar) and understand why build-graph correctness is a product concern rather than a config detail.
- Treat migration work as engineering rather than chores: you budget for the parts that fail silently, verify generated output rather than trusting a green build, and know that bug-for-bug translation beats improvement when the goal is proving nothing changed.
- Enjoy being a platform engineer with real customers — partnering with product teams, adapting the platform to how they actually work rather than requiring them to change, and measuring yourself on their adoption.
- Are comfortable working across cloud boundaries, with a considered view on where a workload belongs and what crossing between clouds costs in latency and spend.
- Communicate decisions in writing well enough that someone can pick up your work from the ticket — and are willing to say plainly when the fast answer and the right answer diverge.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Dubai, United Arab Emirates
We are looking for an experienced
Safety Officer / HSE Officer
to join our construction team in the UAE.
The ideal candidate will have
hands-on construction site experience in the UAE
, with strong knowledge of occupational health and safety requirements, site safety procedures, risk assessment, inspections and incident prevention.
The successful candidate will be responsible for monitoring site activities, ensuring compliance with approved safety procedures and UAE requirements, and promoting a strong safety culture across the project.
Key Responsibilities
Monitor daily construction activities to ensure compliance with health and safety requirements.
Conduct regular site safety inspections and identify unsafe acts, conditions and potential hazards.
Ensure workers and subcontractors follow approved HSE procedures and site safety requirements.
Prepare and maintain risk assessments, method statements and other HSE documentation.
Conduct toolbox talks, safety inductions and regular safety awareness sessions.
Investigate accidents, incidents, near misses and unsafe occurrences and prepare appropriate reports.
Recommend and implement corrective and preventive actions.
Monitor the proper use of PPE and ensure compliance with site safety rules.
Identify potential risks associated with construction activities and recommend appropriate control measures.
Coordinate with site engineers, supervisors, subcontractors and project management regarding safety matters.
Monitor high-risk activities and ensure appropriate permits and control measures are in place.
Maintain records of safety inspections, observations, incidents, training and corrective actions.
Assist in emergency preparedness, drills and response procedures.
Ensure proper housekeeping and safe working conditions across the construction site.
Support the implementation and continuous improvement of the project's HSE management system.
Report safety violations and follow up on corrective actions until closure.
Requirements
Minimum 2 years of hands-on Safety/HSE experience in the UAE construction industry is mandatory.
Bachelor's degree/diploma in Occupational Health & Safety, Engineering, Environmental Science or a related field.
NEBOSH, IOSH or other relevant HSE certifications are preferred.
Strong practical knowledge of construction site safety procedures and risk management.
Experience conducting site inspections, toolbox talks and safety inductions.
Good knowledge of risk assessments, method statements and permit-to-work systems.
Experience handling incident/accident investigations and preparing HSE reports.
Strong understanding of PPE requirements and safe work practices.
Ability to identify hazards and implement practical corrective measures.
Experience working on large-scale residential, commercial or infrastructure construction projects.
Experience dealing with consultants, contractors and subcontractors.
Familiarity with UAE construction safety requirements and practices.
Experience monitoring high-risk activities such as working at height, lifting operations, excavation, scaffolding and hot works.
Good communication and interpersonal skills.
Ability to work independently and effectively coordinate with site teams and subcontractors.
Strong documentation and reporting skills.
Willingness to work in a site-based construction environment.
Benefits
Competitive salary based on qualifications and relevant UAE experience.
Opportunity to work on challenging construction projects.
Professional and collaborative working environment.
Career growth and professional development opportunities.
Exposure to multidisciplinary project teams and construction operations.
Company-provided employment visa and medical insurance, as applicable.
Annual leave and other benefits in accordance with UAE Labour Law.
Location: San Francisco, US [Remote]
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
We're an agile, globally distributed talent acquisition team with the creativity, expertise and ambition to revolutionize talent attraction — built around productivity and a 6-star candidate experience. Our norms are direct, our decisions are fast, and we expect people to operate without scaffolding.
This role sits in the Talent team and runs as a Payward-wide shared service across Payward, NinjaTrader, Reap and future acquisitions. It reports to our Global Head of Talent Acquisition with a dotted line to our Chief People Officer.
Executive recruiting here is its own discipline — smaller rooms, higher stakes, the same directness and speed we expect everywhere else. Discretion is part of the craft: this hire will handle confidential searches, sensitive succession conversations and market intelligence that never leaves the room, and will be trusted to hold all of it. They'll work directly with our Board, C-Suite and broader Payward leadership team on a daily basis.
THE OPPORTUNITY
- Own executive recruiting end to end across the Payward platform spanning C-level, Board, VP+ and bespoke Advisor mandates.
- Partner directly with the Co-CEOs and the executive team on the searches that matter most, absorbing their pace and operating as a trusted advisor.
- Run board and advisory mandates with the discretion they require. Confidentiality here is structural, not a preference.
- Define how executive hiring scales as a shared service across a growing, multi-brand platform.
- Own the external search partner strategy: managing relationships with key retained firms, and ensuring seamless partnership if and when they are engaged.
- Report to the Head of Talent and operate as a member of the talent leadership team, with a dotted line into the Chief People Officer.
WHAT YOU BRING
- 6+ years of executive recruiting experience, with demonstrable ownership of executive searches (VP, C-level, Board) from mandate through close.
- A selection mindset over a screening one. You calibrate candidates against business strategy and can defend a shortlist to a skeptical executive audience.
- Closing and negotiation strength at executive level: pre-closing, offer construction, equity and comp complexity.
- Experience partnering closely with Compensation & Benefits and the HR business partners to ensure full alignment throughout a search lifecycle.
- Business acumen to understand and pitch a complex platform business credibly. Executive candidates buy the thesis, not the job spec.
- Proven agency and retained-firm management — briefing, accountability and spend control.
- Exceptional written and verbal English at executive register.
- Discretion by default, with a track record of executive searches quietly.
- Comfort operating in ambiguity, with responsiveness to candidates and executives across all time zones.
- Located in the San Francisco Bay Area, given the proximity this role requires to our executives and to board and advisory mandates.
NICE TO HAVES
- In-house executive recruiting experience at a fintech, brokerage, exchange or payments company.
- Background inside a retained executive search firm, in addition to in-house work.
- Experience building executive recruiting as a shared service across multiple entities, or across multiple portfolio companies
- Exposure to crypto or digital assets.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: San Francisco; Seattle; New York City; Toronto
PERPLEXITY API PLATFORM
Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry.
We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between.
We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds.
ABOUT THIS ROLE
Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces.
As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.).
KEY RESPONSIBILITIES
- Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence.
- Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services.
- Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks.
- Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth.
- Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them.
- Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems).
- Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response.
- Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security.
- Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today.
- Uphold engineering excellence through design reviews, code quality, and internal documentation.
QUALIFICATIONS
- 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams.
- Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning.
- Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability.
- Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract.
- Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud.
- A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it.
- Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.
Strong plus:
- Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards).
- Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines.
- Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $172,724 – $227,135
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Toronto, Ontario, Canada
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $195,001 – $238,965
Canada Eligibility & Compliance
Candidates must be legally authorized to work in Canada without current or future sponsorship.
This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered.
Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.
What You’ll Do
Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
Debug complex interoperability and performance issues across drivers, engines, and compute domains.
Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.
Skills We’re Looking For
Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
A desire to build foundational platform components that other teams and community members rely on.
Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.
You’ll have an edge if you have:
Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
An interest in building developer-experience layers or scaffolding frameworks for adapter authors.
Qualifications:
6+ years experience in software engineering, with strong systems-level skills.
2+ years working in open-source, SDK, runtime, or low-level integration environments.
Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts.
Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build.
You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product.
This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them.
Responsibilities
Prototype rapidly to find define the AI frontier for cybersecurity work
Design evaluations that measure model performance on the work security teams actually do
Build the datasets, harnesses, and scoring those evaluations depend on
Engage with the cybersecurity community to help define where AI can make the most impact
Work with engineers and researchers to operationalize promising capabilities into something customers can rely on
Track how model capabilities for security are changing, and what that means for what we build next
Share findings that inform product direction, and partner with product leadership on priorities
You may be a good fit if you:
Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security
Have built AI-powered tools or capabilities for security work
Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up
Are comfortable designing rigorous evaluations and interpreting the results honestly
Can write and communicate clearly about technical findings
Have 7+ years of experience in security research, security engineering, or a closely related field
Strong candidates may also have:
Published research, CTF results, CVEs, or open source security tooling
Experience with model evaluation, benchmarking, or red teaming
Experience building agentic applications
Familiarity with the safety considerations of AI in security contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada
What The Role Is
As a
Senior Engineer
at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person.
We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain.
What You'll Own
A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong.
What you do depends on what the team needs:
Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built.
Harden a critical path, kill a class of incidents or design the abstraction your team builds on.
Be the reviewer people want on the risky changes.
Manage up with crisp choices: raise the risks early and protect the right tradeoffs.
Share what you're learning about AI openly, so the whole team gets sharper.
A few problems people at this level are working on right now:
Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps.
Building the evals system that catches our AI support agent making things up before a customer does.
Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it.
Who You Are
You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture.
The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature.
Compensation
We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks, start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A RRSP match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address.
Location: Canada
What The Role Is
As a
Staff Engineer
at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families.
You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next.
What You'll Own
A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build.
In practice, you:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Make the architecture calls that span teams and the ones that are expensive to reverse.
Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones.
A few problems people at this level are working on right now:
Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it.
Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt.
Building Early Investor, our new family finance product, from scratch, on a deadline that can't move.
Who You Are
You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other.
A few things that tend to be true of people who thrive here:
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.
You're curious: you spot problems before they're filed and push your own ideas until they ship.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A RRSP match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Ontario, Canada; Toronto, Ontario, Canada
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Senior Full Stack Engineer
to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis
Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions
Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team
Own testing strategy across frontend and backend code you ship
Design and consume REST and WebSocket APIs with solid networking fundamentals
Maintain the security and compliance standards required by our government and enterprise clients
Contribute to Mattermost's open-source codebase
What We Are Looking For
Required:
Strong full-stack development experience in Go and React, or a comparable stack
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Bias toward shipping and owning complex software end-to-end without close supervision
Nice to Have:
Experience with distributed systems or high-availability service architecture
Familiarity with enterprise or regulated-environment security requirements
Background in defense, intelligence, or critical infrastructure products
Open-source contributions
Experience working on distributed or remote-first teams
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: CAD $162,591–$195,000
Canada Eligibility & Compliance
Candidates must be legally authorized to work in Canada without current or future sponsorship.
This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered.
Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Senior Full Stack Engineer
to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis
Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions
Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team
Own testing strategy across frontend and backend code you ship
Design and consume REST and WebSocket APIs with solid networking fundamentals
Maintain the security and compliance standards required by our government and enterprise clients
Contribute to Mattermost's open-source codebase
What We Are Looking For
Required:
Strong full-stack development experience in Go and React, or a comparable stack
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Bias toward shipping and owning complex software end-to-end without close supervision
Nice to Have:
Experience with distributed systems or high-availability service architecture
Familiarity with enterprise or regulated-environment security requirements
Background in defense, intelligence, or critical infrastructure products
Open-source contributions
Experience working on distributed or remote-first teams
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Target Salary Range: $142,723- $172,723
Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan.
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team.
You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them:
Front-end design
Pre-silicon verification
Physical design
Design for test
Analog and mixed-signal
Technology and foundry
CAD and design infrastructure
Packaging, signal integrity, and power integrity
This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them.
Key responsibilities
Take part in end to end activities for the program: strategy, specification, execution and the technical bar.
Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges
Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners
Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate
Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip
Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration
Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through
Minimum qualifications
Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity
Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail
Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty
Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar
Track record of owning directional technical decisions and their consequences, not only making recommendations
Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not
Clear written and verbal communication, and experience driving alignment across teams and organizations
Comfort operating with high autonomy and little scaffolding on a highly dynamic program
Preferred qualifications
Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs
Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing
Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them
Familiarity with the chip-package-system interface and the tradeoffs that cross it
Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams
Experience building or extending AI-assisted design, verification, or physical design flows
Depth in memory subsystems, on-die interconnect, numerics, or low-power design
Representative projects
Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives
Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence
Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture
Selecting and qualifying PHY IP, then validating it on first silicon
Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation
Defining test strategy and the automated-test-equipment handoff interface with our partner
Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do
Debugging a first-silicon failure that crosses your domain and someone else's
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a
Sr Software Engineer
to join the Platform Ops team (Platform Engineering) and enable developer productivity by building and improving developer tooling and environments, and by improving other productivity tools around observability. Our team builds the shared systems and workflows engineers rely on every day—internal developer environments and self-serve tooling that makes the recommended way to ship changes the easiest way. This is a platform tooling role with a focus is on reusable capabilities and self-service workflows adopted across teams.
You’ll also help develop AI-based workflows for productivity and efficiency, including automation that improves infrastructure operations (for example, faster triage, automated runbook steps, and better self-service for common issues). You’ll prioritize the highest-impact problems by looking at where time is being lost today (slow builds, flaky tests, manual release steps, repetitive operational work) and turning that into concrete projects. You’ll set clear success metrics up front and use them to guide design decisions and rollouts.
Expect to partner closely with engineering teams to drive adoption, document changes, and iterate based on feedback. You’ll drive cross-team work across internal tooling, developer environments, observability, and reliability, focusing on measurable improvements (for example: shorter lead time, fewer incidents, and faster recovery). You’ll add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP).
Over time, you’ll own medium-sized projects end-to-end: identify the highest-friction workflows with partner teams, build and ship improvements, roll them out safely, and iterate based on adoption and measurable outcomes (for example: faster builds, fewer flaky tests, shorter time to debug, and less operational toil). You’ll collaborate closely with Platform Engineering, Release Engineering, Security, and product engineering teams to make improvements that are easy to adopt and maintain.
What You’ll Do
Build internal tools and services in
Python
and/or
Go
Build tooling for our internal developer platform (self-service workflows, shared patterns, developer-facing interfaces)
Add automation and enable developer workflows across all three major cloud environments (AWS, Azure, and GCP)
Develop AI-based workflows that improve developer experience and reduce repetitive manual work, including efficiency gains in infrastructure operations
Improve developer feedback loops through better observability (metrics/logs/traces), making failures easier to diagnose
Automate common engineering workflows (scaffolding, environment setup, releases, operational runbooks)
Improve observability for platform services (metrics, logs, traces) to make issues easier to detect and debug
Integrate tools into existing workflows (CLI, Slack, GitHub, dashboards) where it reduces time-to-resolution
Participate in on-call/incident response as needed and drive follow-up automation to prevent repeat issues
Skills We’re Looking For
Professional software engineering experience in
Python
and/or
Go
Experience building developer productivity tooling (CI systems, build tooling, developer portals, workflow automation)
Experience with at least one cloud provider (
AWS
,
Azure
, or
GCP
)
Strong fundamentals: testing, code review, debugging, and operating production services
Ability to work effectively in a remote, cross-team environment
You'll have an edge if you have:
Kubernetes experience
Infrastructure-as-code (Terraform/OpenTofu), including reusable modules and safe state management
#LI-HYBRID
#LI-JI1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Work closely with teammates across time zones (primarily US/Canada, with close collaboration across EU and India-based colleagues on adjacent squads); Strong communication skills: ability to write clear technical documents, work autonomously, and collaborate across teams and time zones
ГибридParis; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоleadComfort operating in ambiguity, with responsiveness to candidates and executives across all time zones; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
