Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Role
Affirm is building its own bank — and this role is one of the most senior individual-contributor seats on the engineering team that runs it. We're looking for a Staff Software Engineer to be a technical anchor for a deliberately small, AI-native team that owns the systems behind Affirm's bank: vendor-integrated banking infrastructure, the data platform, and the operational tooling that holds it all together. You'll set technical direction across that surface area, own the hardest problems on the team — including the Bank ↔ Affirm Inc integration boundary — and operate with direct exposure to senior bank and Affirm leadership.
This is a rare opportunity to shape a new business from its very first systems — a startup-like build inside an established company — at a level of ownership that goes beyond delivering your own projects. As a Staff engineer here you set the bar: the architecture, the standards, and the technical strategy that the rest of the team builds against. The team is small and AI-native, the surface area is broad, and the decisions you make carry far — every system you ship serves real customers under a real bank charter, and the patterns you establish determine what the bank becomes.
What You'll Do
Set technical direction across the bank's systems.
Own the medium-to-long-term technical strategy for the bank's core surfaces — cloud infrastructure, data platform, core banking configuration, CI/CD, networking, and the Bank ↔ Affirm Inc integration — and make the architecture calls the rest of the team builds against. Generalist breadth is expected; you go deep where the risk is highest.
Own the hardest problems end-to-end.
Personally design, build, integrate, and operate the most ambiguous and highest-stakes pieces of the stack, and own incident response for them. You take the problems no one else can fully scope and turn them into well-defined systems with clear failure domains, monitoring, and runbooks.
Be the force multiplier on a small team.
Set and hold the bar for code review, design review, and examiner-readable documentation. Establish the patterns and standards that let a deliberately small team punch far above its size, and level up every engineer who joins after you.
Ship AI-first, and push the frontier of it.
Treat AI tools and agentic workflows as a load-bearing capability for code, design review, runbook generation, and operations — and actively push yourself and the team on what an AI-leveraged engineering function can deliver in place of additional headcount.
Lead vendor selection and ownership.
Drive evaluation, integration, and ongoing oversight of the bank's third-party platforms across the core, data, identity, observability, and card-processing stacks. Carry the bank's most critical vendor relationships end-to-end: integration, operations, escalation, and audit.
Define the integration boundary with Affirm Inc.
Set the domain edges, data flows, and integration patterns between the bank and Affirm Inc so the bank's products work seamlessly inside the Affirm ecosystem while preserving the legal and regulatory separation the charter requires. Drive this across Affirm Inc engineering teams whose systems integrate with the bank's.
Build for examiners.
Partner with Legal, Compliance, Risk, BSA/AML, Finance, and Internal Audit so compliance is a property of the product from day one. The systems you design are the artifacts FDIC and state examiners will inspect — design and document them to a standard that holds up under examination and audit review.
Own the operational posture of the bank's systems.
Set the reliability, observability, alerting, runbook, incident-response, and disaster-recovery practices that keep the bank standalone-operable and audit-ready, while keeping the operational footprint intentionally small. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
Influence up and across the organization.
Communicate technical strategy, tradeoffs, and constraints with clarity to bank executives, the Bank Board, Compliance, Risk — and to engineers outside the bank across the broader Affirm org. The relationships you build beyond the team shape how cleanly the integration boundary works.
Help grow the team and the bar.
As engineers join, they inherit a function whose architecture, practices, and standards you helped set. Mentor peers, provide high-signal feedback, contribute to hiring, and lead by example.
What We Look For
8+ years of software engineering experience, with staff-level, hands-on builder credentials and a track record of owning ambiguous, high-stakes systems end-to-end through launch and operations
Comfortable owning ambiguity at the largest scale on the team
— you move fast, make the tough prioritization calls, take ownership before being asked, and balance speed with the engineering judgment the hardest decisions require
Hungry to leverage AI to drive outcomes
— fluent with AI-assisted development tools (Claude, Cursor, Codex, agentic workflows) and actively pushing yourself and your team to use them as a multiplier for code quality, velocity, and what a deliberately small team can ship
Bias toward simplicity
— experience building toward a small, lean engineering culture that rewards "buy over build", a default-deny posture, and standalone-operability over an abundance of tooling
A track record of setting technical direction
— you've defined architecture and multi-quarter technical strategy for systems beyond your own projects, and led the execution of it across engineers and teams without needing a management title to do so
Deep systems thinking
across public cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and cloud data platforms (Snowflake or comparable) — you understand their failure modes and tradeoffs, not just their surface APIs
Regulated-environment experience
— direct work in banking, payments, securities, healthcare, or another setting subject to external examination, where the work involves examiner-facing documentation and decisions
Direct experience selecting, integrating, and operating meaningful third-party platforms
under operational ownership after launch
Comfortable as the technical face of the work
to non-engineering stakeholders — bank executives, the Board, Compliance, Risk, Finance, and examiners — and able to document decisions so they hold up under audit review
Exceptional written and verbal communication
— you can distill complex technical, regulatory, and operational concepts into clear narratives for executives, boards, and non-engineering audiences
This position requires either equivalent practical experience or a Bachelor’s degree in a related field
Nice to have
Prior work inside a bank, neobank, Banking-as-a-Service provider, card issuer/processor, or fintech with a chartered bank subsidiary
Direct experience with a de novo bank launch, an early-stage bank buildout, or a greenfield regulated platform
Hands-on experience with a bank core, card processing / issuer processor integration, or digital bank experience integration
Hands-on experience standing up a greenfield cloud organization — fresh cloud org, IAM model, and data platform — under a tight, default-deny security posture
Familiarity with the regulatory framework that shapes the work: FDIC examinations, GLBA / Reg P (affiliate data sharing), BSA/AML, Reg E, Reg DD, Reg Z, model risk, and third-party risk management
Compensation & Location
Base Pay Grade - P
Equity Grade - USA 13
Employees new to Affirm
typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
USA base pay range (CA, WA, NY, NJ, CT) per year:
$230,000 - $290,000
USA base pay range (all other U.S. states) per year:
$204,000 - $264,000
Benefits
100% employer-subsidized medical, dental, and vision coverage for employees and dependents
Flexible spending wallets for technology, food, lifestyle, and family formation
Competitive vacation and holiday schedules
Employee Stock Purchase Plan
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
About the Role
Reddit is looking for a Group Product Manager to lead the product management of our Finance SaaS portfolio, our systems that run treasury, planning, procure-to-pay, record-to-report, quote-to-cash, payroll, and equity. This is a player-coach role: you'll coach and manage a small team of SaaS product managers who each own a domain of Finance's application stack, while personally owning your own set of applications as a player. This role serves as the orchestration layer for Finance and AI Transformation, requiring you to advise senior executives, influence strategic direction, and navigate complex matrixed environments to translate high-level strategy into measurable business outcomes.
You set the product vision and roadmap across the Finance SaaS landscape, decide what gets built and bought, drive adoption, and own the vendor relationships that underpin the stack. You partner closely with the Enterprise Architecture & Engineering team. They own how systems are built and integrated; you own what we build, why, and when.
You will be at the forefront of our AI-first finance strategy, championing the next generation of intelligent automation to redefine efficiency and scalability across our global operations. If you're energized by translating complex finance processes into clean, well-run systems, thrive at the seam between business and technology, and want to both lead a team and stay close to the product yourself, this role is for you.
What You'll Do
Product Strategy & Portfolio Ownership
Own the end-to-end product vision and multi-quarter roadmap for Reddit's Finance SaaS portfolio across P2P, R2R, QTC, payroll & equity, and treasury/investments/EPM.
As the lead for Finance & AI Transformation, you are the catalyst for shifting Reddit’s finance teams from manual processes to AI-enabled workflows. This includes championing a “finance engineer” mindset, proactively identifying AI use cases for close automation and anomaly detection, and fostering a culture where data-driven innovation is embedded in our operating model.
Translate Finance's priorities (e.g., close acceleration, scalability, public-company rigor, M&A) into a sequenced, defensible roadmap.
Lead build-vs-buy and vendor selection decisions; serve as the product voice in Finance technology investments alongside the Enterprise Architect.
Define and enforce a consistent product operating model across the team: intake, prioritization, release management, change management, and adoption measurement.
Identify opportunities to improve Finance processes through AI-enabled workflows, reconciliations, anomaly detection, approval copilots, and close automation.
Drive roadmap prioritization using measurable outcomes such as close cycle reduction, automation rates, SOX compliance effectiveness, and Finance productivity improvements.
Establish a single, transparent demand pipeline so Finance stakeholders can see what's planned, in flight, and shipped.
Assess the end-to-end finance processes to identify manual workflows, process gaps, control weaknesses, data quality issues, and opportunities to improve and enable AI-powered solutions..
Create a cross-functional decision framework for Finance capabilities, including clear ownership, intake, prioritization, readiness criteria, and business sign-off.
Identify, design, and launch new features and system capabilities that enhance user efficiency while driving incremental value for the business.
Partner with finance leadership to enable AI use across teams, fundamentally shifting the organization toward a "finance engineer" mindset where finance teams are empowered to build, automate, and innovate within our systems.
Drive end-to-end finance transformation initiatives across Quote-to-Cash (QTC), Procure-to-Pay (P2P), Record-to-Report (R2R), and Hire-to-Retire (H2R), ensuring alignment between process improvements and long-term scalability.
Strategic Orchestration & Influence
Advise senior Finance and Tech leadership on roadmap trade-offs, balancing speed, risk, and long-term impact.
Navigate organizational dynamics to secure alignment across Finance, Tech, and Business partners.
Promote harmony between internal teams and external integration partners by resolving bottlenecks and managing cross-functional dependencies.
Lead a rigorous diligence program to evaluate and optimize system performance, workflows, and adoption metrics to strengthen operational quality.
Team Leadership
Directly manage a team of SaaS product managers, each owning a Finance domain (P2P & R2R, QTC, Payroll & Equity).
Set clear direction and priorities for each domain, and create space for deep, high-quality product work.
Develop your team's craft through roadmap review, stakeholder coaching, and regular 1:1s focused on growth.
Serve as an escalation point and thought partner when your PMs hit ambiguity, contention over priorities, or cross-functional friction.
Build the bench: define the team's coverage model, identify gaps, and grow the function as Finance scales.
Hands-On Product Ownership:
Maintain direct ownership over a specific set of applications, leading their product roadmaps and managing key stakeholder relationships.
This isn't a purely managerial role: you'll run intake, prioritize enhancements, manage releases, and partner directly with Finance and the Eng team to deliver in your own portfolio.
Stay close enough to the work to credibly coach your team and make sharp product tradeoffs.
Vendor and Demand Management
Own Finance SaaS vendor relationships at the portfolio level: renewals, SLAs, roadmap influence, escalations, and spend rationalization.
Bring a demand-management mindset to intake; help Finance stakeholders articulate needs, size effort, and sequence work effectively rather than absorbing every request.
Partner with Procurement and Finance leadership on tooling spend, contract timing, and consolidation opportunities.
Maintain a clear view of total cost of ownership and license utilization across the stack.
Stakeholder Partnership
Act as the primary product liaison for Finance leadership, translating business requirements into roadmap decisions and communicating tradeoffs clearly.
Partner with FP&A, Technical Accounting, Revenue, Treasury, Payroll, and Finance Operations to understand pain points and proactively surface system improvements.
Work hand-in-glove with the Enterprise Architect and Engineering team to land integrations, data quality, and technical delivery against the product roadmap.
Support M&A activity (e.g., systems due diligence, gap analysis, integration sequencing, and adoption planning for acquired entities).
What We're Looking For
8+ years in product management, business/finance systems, or finance transformation, including 2+ years directly managing people.
Demonstrated ownership of Finance SaaS platforms across multiple domains (ERP, EPM/CPM, procure-to-pay, order-to-cash, treasury, or payroll).
Track record of building and running a product/intake operating model: roadmaps, prioritization frameworks, release and change management.
Strong vendor management chops: selection, renewals, SLAs, and influencing vendor roadmaps
Prior people management experience, with a track record of developing PM or systems-analyst talent.
Strong ability to operate across abstraction levels: comfortable in an executive roadmap discussion and in the configuration details of a specific platform.
Excellent communication skills: you can frame a portfolio strategy for a CFO and a sprint priority for an engineer in the same afternoon.
Strong knowledge of financial controls, audit readiness, SOX requirements, data quality, and compliance impacts.
Experience defining close transformation roadmaps, reconciliation strategies, reporting readiness plans, and UAT strategies.
Proven success scaling products and owning business outcomes in high-growth, complex environments.
Bonus Points
Experience at a high-growth public technology company
Familiarity with Reddit's existing Finance tech stack (NetSuite, Workato, Adaptive, Zip, Coupa, Ramp, Workday, Salesforce or comparable) or similar environments
Familiarity with advertising platforms and transformation initiatives spanning quote-to-cash or procure-to-pay workflows
Experience supporting M&A workstreams (diligence, integration, cutover)
Exposure to SOX compliance considerations in finance systems
Background partnering with Corporate Engineering or shared-services models
Why This Role, Why Reddit
Reddit's Finance organization is scaling rapidly through organic growth, internal investments, and increasing public-company rigor. This role offers a unique opportunity to shape how Finance technology evolves at a consequential moment: owning the product direction for a portfolio that touches every corner of the company, leading a team, and keeping your own hands on the work.
You'll have the autonomy to set direction, the team support to execute, and the organizational access to make product decisions that stick.
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$210,800
—
$295,200 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Vilnius
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Locations we're considering: Lithuania, Latvia, Estonia
Responsibilities:
Conduct technical seminars, exhibitions, presentations, webinars on the product (for customers and company employees).
Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers.
Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology.
Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients.
Market research and сomparative characteristics of products of the competitors.
Develop long-term relationships with key partners of the company.
Test product features and write technical documentation for new products or solutions, and collaborate with the rest of the team.
Support sales team with follow from leads in our portal
Analyze customer needs in collaboration with the sales department.
Key Requirments:
2 or more years of experience in a Pre-Sales or Sales Engineer role within alarm, video surveillance, fire detection, and home automation fields.
Experience in delivering technical presentations, presenting at workshops or public speaking at offline events.
Availability to travel for business.
An outgoing personality and can work independently.
Experience in installing/designing video surveillance, fire, intrusion, or other security systems would be a plus.
We Offer:
A truly innovative product that sells itself.
Greenfield territory.
A zero bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Being a part of the emerging leadership in the security space.
Join Ajax Systems!
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
ABOUT THE ROLE
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
- Making ML workloads easy to run, scale, and operate for every team
- Providing self-service, configurable infrastructure components to ML and product teams
- Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
CHALLENGES YOU WILL TACKLE
- Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
- Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
- Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
- Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
- Be responsible for what you and your team do
REQUIREMENTS
- 5+ years of professional experience in backend or platform engineering
- Extensive Python knowledge (our primary language)
- Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
- Experience designing and building distributed, high-load services and APIs
- Strong knowledge of data structures, algorithms, and their trade-offs
- Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
- Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
- You are friendly and willing to help your teammates & others
NICE TO HAVE:
- Experience with Rust (or C/C++/Go) - a strong plus
- Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
- Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
- Experience with model serving / inference infrastructure, including LLMs
- Experience with Infrastructure as Code (Terraform or similar)
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend.
The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development.
Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours.
Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work.
Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience.
What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap.
Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer.
How to Apply: Fill out the application form at the provided link; no cover letter required.
Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Hofuf, Saudi Arabia
We are seeking a
Media News Analyst
to join our team for a Saudi Aramco project in Dhahran, Saudi Arabia. The successful candidate will be responsible for monitoring and analyzing media coverage across digital, social, and broadcast platforms, preparing media intelligence reports, and supporting media relations and crisis communication activities. The ideal candidate should have strong analytical skills, excellent communication abilities in both English and Arabic, and experience in media monitoring or journalism.
Key Responsibilities
Monitor online, social media, broadcast, and digital news channels for relevant media coverage.
Analyze media content and identify critical news based on established guidelines.
Respond to media-related inquiries and maintain accurate records for tracking and follow-up.
Prepare daily, weekly, monthly, and quarterly media monitoring and impact reports.
Utilize media monitoring platforms to track news trends and public sentiment.
Coordinate with Media Relations and internal stakeholders to ensure timely communication.
Support crisis communication activities by monitoring developments and providing media intelligence.
Maintain accurate documentation and ensure timely dissemination of media updates.
Requirements
Bachelor's degree in Mass Communications, Media, Journalism, Public Relations, Corporate Communications, or a related field.
Minimum 2
year
of professional experience in media monitoring, journalism, public relations, or communications.
Proficiency in
English and Arabic
(written and spoken).
Experience using media monitoring tools and analyzing news trends.
Strong analytical, reporting, and communication skills.
Ability to work on a
rotating 8-hour shift schedule
.
Proficient in Microsoft Office (Excel, Word, PowerPoint).
Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Hofuf, Saudi Arabia
Location: San Francisco, CA | New York City, NY
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 Team
Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning.
Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development.
About the Role
As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity.
Responsibilities
Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents
Work with RL org leads on prioritizing, ranking, and tracking the state of experiments
Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided
Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down
Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions
You May Be a Good Fit If You
Have a background in ML engineering or ML research before transitioning to technical program management
Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production
Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research
Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery
Are excited about pushing the frontier of what RL can do at scale
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:
$365,000
—
$435,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: OH
(can work remotely within the state)
About the Department
Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.
About this Role
This role within the mid-market segment focuses on both the acquisition of new Territory accounts, as well as the expansion of existing customer accounts. Within the mid-market segment, you will work a set of accounts in the territory sub-segments. The ideal candidate will have both a sales and technical background that enables them to drive customer engagement from technical professionals through to senior executive levels, and across Security, Network, Development and Infrastructure teams.
Key Responsibilities
Develop and execute a comprehensive account/territory plan to achieve quarterly sales and annual revenue targets in a defined territory and/or account list.
Drive new business acquisition (new customer logos), customer expansion (upsell and cross sell Cloudflare solutions), and renewal within your territory.
Engage in account mapping sessions with partners, including training new partners on our technology and GTM strategies.
Developing scalable relationships with target partners, to expand partner ecosystem in a specific region.
Build a robust sales pipeline through continual engagement and nurturing of key prospect accounts.
Understand customer use-cases and how they pair with Cloudflare’s portfolio solutions in order to identify new sales opportunities.
Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates.
Accurately forecast commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations.
As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews.
Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers.
Position Cloudflare's platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realize our full potential in every customer.
Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare.
Requirements:
3+ years of direct B2B selling experience
Strong interpersonal communication (verbal and written) and organizational skills
Self-motivated; entrepreneurial spirit
Comfortable working in a fast paced dynamic environment
Bachelor's degree required
Demonstrated analytical and quantitative abilities
Software and system skills are a must (SFDC, Tableau, G-suite, MSFT suite)
Examples of desirable skills, knowledge and experience:
5+ years in Software/SaaS/Security Sales & Channel management.
Existing relationships and/or strong familiarity of the partner ecosystem in the region that they cover.
Understanding of cloud infrastructure ecosystem and cloud security is highly preferred.
Experience working in a start-up environment.
Ability to travel up to 25% of the time.
Technical competence strongly preferred.
Compensation
Compensation may be adjusted depending on level and work location.
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote (United States)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
Join our Strategic Projects team, reporting to the team's Engineering Manager and ultimately into our co-founder and Chief Strategy Officer. This team exists to show developers and organizations why Tailscale should be their default connectivity substrate, both for internal infrastructure and for embedding into customer-facing products. Aperture, our identity-aware LLM gateway, is one such initiative.
This is an AI-native team. We use coding agents heavily as a force multiplier and expect every engineer to be a power user. Our customers demand a high bar on code quality, security, and operational rigour, and we treat that as a reason to use every tool available, including LLMs and coding agents, to ship fast without compromising it.
We move fast from idea to prototype, and we're growing the side of the team that's energized by the path from prototype to dependable product. You'll work shoulder-to-shoulder with product-minded engineers from the moment an idea takes shape, shaping how it's built so it holds up later, and co-owning the work of making it production-grade: stable, observable, maintainable, and ready for real customer load. You're the kind of engineer who finds the long tail of development genuinely satisfying, the edge cases, the failure modes, the tests and runbooks, the details that turn a sharp demo into something customers can rely on.
You'll work directly with reference customers on integrations and own the production bar on prototypes that graduate into Tailscale's product surface area, ensuring the security, review, and operational practices that wrap around agent-generated code actually hold in production.
Tailscale is fully remote, this team operates with significant ambiguity, and the shipping cadence is fast. Comfort working asynchronously and collaborating with highly technical customers is essential.
Key Responsibilities
Partner with product-minded engineers from the start, shaping prototypes (MCP gateways, LLM proxies, sandboxes, remote servers, and similar emerging workloads) so the path to production is built in, not bolted on.
Co-own the journey from "works in a demo" to "stable in production": hardening, error handling, observability, and operational tooling.
Own the production bar on prototypes that graduate into Tailscale's product surface area, including the security and review practices that wrap around agent-generated code.
Work with reference customers to integrate Tailscale, both for internal adoption (VPN replacement with identity-aware networking) and for embedding into their products, with particular attention to reliability, maintainability, and long-term supportability.
Find and close the long-tail gaps, edge cases, regressions, flaky behavior, missing tests, undocumented operational knowledge, that separate a prototype from a dependable product.
Establish and maintain the review, testing, and security practices that let the team ship agent-generated code fast without compromising the production bar.
Light travel required (<10%): primarily team and company onsites, with optional conferences or customer visits concentrated in North America.
What We Are Looking For
Ideal candidates will have experience taking software from prototype to production in startup-like environments. We don't expect expertise with every aspect listed below. Let us know where you feel you have the most experience and where you'd like to keep developing.
Strong at hardening, stabilizing, and maintaining production software; you take satisfaction in detail-oriented work and in closing the long tail of bugs, edge cases, and operational gaps.
Go experience is a must; comfort integrating third-party APIs; basic networking.
Heavy daily use of coding agents (Claude Code, Cursor, or similar) and LLMs in your engineering workflow, with a point of view on where they accelerate work, where they fail, and especially how to wrap them in the review, testing, and security practices that hold the production bar.
Enjoy collaborating closely with exploratory, product-minded engineers and jointly owning the work of getting something solid into production.
Comfort with the cadence of a strategy team at an early-ish startup: priorities shift with market signal, prototype-to-production timelines are short, and the bar on what ships stays high regardless.
Thrive working independently in a remote environment.
Nice to Have
Experience operating production services: observability, on-call, incident response, performance and reliability work.
Validating prototype code for production use alongside security teams.
Identity infrastructure: IdP platforms, identity sync/provisioning, directory services; authentication protocols (OAuth, OIDC, SAML, SCIM); access control models (RBAC/ABAC), session management, MFA, passwordless auth.
Building applications on top of LLMs and agentic systems (not just using them as dev tools).
Familiarity with Tailscale itself and with networking challenges in multi-cloud and hybrid deployments.
Open source community participation; experience producing publicly-visible artifacts (blog posts, talks, reference implementations).
Python, Rust, and/or TypeScript.
Why You'll Enjoy Working With Us
Work shoulder-to-shoulder with sharp engineers to turn promising prototypes into products customers depend on.
Work alongside reference customers on real integrations rather than abstract roadmaps.
Shape emerging AI connectivity standards and Tailscale's product strategy.
Collaborate with a small team of motivated, sharp, and fun engineers in a fast-paced, dynamic environment.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
US Pay Range
$163,000
—
$226,000 USD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Remote (Canada)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
Join our Strategic Projects team, reporting to the team's Engineering Manager and ultimately into our co-founder and Chief Strategy Officer. This team exists to show developers and organizations why Tailscale should be their default connectivity substrate, both for internal infrastructure and for embedding into customer-facing products. Aperture, our identity-aware LLM gateway, is one such initiative.
This is an AI-native team. We use coding agents heavily as a force multiplier and expect every engineer to be a power user. Our customers demand a high bar on code quality, security, and operational rigour, and we treat that as a reason to use every tool available, including LLMs and coding agents, to ship fast without compromising it.
We move fast from idea to prototype, and we're growing the side of the team that's energized by the path from prototype to dependable product. You'll work shoulder-to-shoulder with product-minded engineers from the moment an idea takes shape, shaping how it's built so it holds up later, and co-owning the work of making it production-grade: stable, observable, maintainable, and ready for real customer load. You're the kind of engineer who finds the long tail of development genuinely satisfying, the edge cases, the failure modes, the tests and runbooks, the details that turn a sharp demo into something customers can rely on.
You'll work directly with reference customers on integrations and own the production bar on prototypes that graduate into Tailscale's product surface area, ensuring the security, review, and operational practices that wrap around agent-generated code actually hold in production.
Tailscale is fully remote, this team operates with significant ambiguity, and the shipping cadence is fast. Comfort working asynchronously and collaborating with highly technical customers is essential.
Key Responsibilities
Partner with product-minded engineers from the start, shaping prototypes (MCP gateways, LLM proxies, sandboxes, remote servers, and similar emerging workloads) so the path to production is built in, not bolted on.
Co-own the journey from "works in a demo" to "stable in production": hardening, error handling, observability, and operational tooling.
Own the production bar on prototypes that graduate into Tailscale's product surface area, including the security and review practices that wrap around agent-generated code.
Work with reference customers to integrate Tailscale, both for internal adoption (VPN replacement with identity-aware networking) and for embedding into their products, with particular attention to reliability, maintainability, and long-term supportability.
Find and close the long-tail gaps, edge cases, regressions, flaky behavior, missing tests, undocumented operational knowledge, that separate a prototype from a dependable product.
Establish and maintain the review, testing, and security practices that let the team ship agent-generated code fast without compromising the production bar.
Light travel required (<10%): primarily team and company onsites, with optional conferences or customer visits concentrated in North America.
What We Are Looking For
Ideal candidates will have experience taking software from prototype to production in startup-like environments. We don't expect expertise with every aspect listed below. Let us know where you feel you have the most experience and where you'd like to keep developing.
Strong at hardening, stabilizing, and maintaining production software; you take satisfaction in detail-oriented work and in closing the long tail of bugs, edge cases, and operational gaps.
Go experience is a must; comfort integrating third-party APIs; basic networking.
Heavy daily use of coding agents (Claude Code, Cursor, or similar) and LLMs in your engineering workflow, with a point of view on where they accelerate work, where they fail, and especially how to wrap them in the review, testing, and security practices that hold the production bar.
Enjoy collaborating closely with exploratory, product-minded engineers and jointly owning the work of getting something solid into production.
Comfort with the cadence of a strategy team at an early-ish startup: priorities shift with market signal, prototype-to-production timelines are short, and the bar on what ships stays high regardless.
Thrive working independently in a remote environment.
Nice to Have
Experience operating production services: observability, on-call, incident response, performance and reliability work.
Validating prototype code for production use alongside security teams.
Identity infrastructure: IdP platforms, identity sync/provisioning, directory services; authentication protocols (OAuth, OIDC, SAML, SCIM); access control models (RBAC/ABAC), session management, MFA, passwordless auth.
Building applications on top of LLMs and agentic systems (not just using them as dev tools).
Familiarity with Tailscale itself and with networking challenges in multi-cloud and hybrid deployments.
Open source community participation; experience producing publicly-visible artifacts (blog posts, talks, reference implementations).
Python, Rust, and/or TypeScript.
Why You'll Enjoy Working With Us
Work shoulder-to-shoulder with sharp engineers to turn promising prototypes into products customers depend on.
Work alongside reference customers on real integrations rather than abstract roadmaps.
Shape emerging AI connectivity standards and Tailscale's product strategy.
Collaborate with a small team of motivated, sharp, and fun engineers in a fast-paced, dynamic environment.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
CAN Pay Range
$218,420
—
$302,840 CAD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Remote, 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 hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum.
This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors.
About the team
The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is
MetricFlow
— the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications.
This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business.
What you'll do
Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support.
Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software.
Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack.
Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap.
Drive engineering excellence in performance, reliability, and observability of metric query execution at scale.
Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy.
Skills we're looking for
Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems.
A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team.
Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines).
Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them.
Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members.
Experience leading in a distributed, asynchronous team environment.
Nice to have
Experience leading or contributing to a popular open-source project, including managing a community of external contributors.
Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies.
Background in data warehousing internals, query optimization, or analytical SQL dialects.
Experience with CI/CD, GitHub Actions, and release engineering for Python libraries.
Exposure to building developer-facing APIs, SDKs, or CLIs.
Why join us
Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises.
Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community.
A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy.
Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support.
#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: Remote Poland
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
We are reinventing credit cards in the most transparent way possible. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. You'll work across stacks and across the company, working both in just-in-time transaction processing that has to take place in milliseconds, along with our ledgering and reconciliation systems in post-transaction processing. This is some of the more difficult, exciting, experimental engineering work in Affirm. Join us and our team in Spain and Poland to help us revolutionize payments!
What You'll Do
· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have a total of 4+ years of experience as a software engineer.
· You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes.
· You have experience shipping front end applications
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Total rewards
We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future.
In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.
Base Pay Grade
- N
308,000 zł - 428,000 zł
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills.
In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially.
Equity Grade - 4 (awarded in US Dollars)
Affirm Holdings, Inc. Equity Grade example
Equity grade: 4
New hire equity: $32,000-$48,000
Annual Refresh: $10,000
Reward equity: $0-$150,000
Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.
In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include:
Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
Comprehensive private healthcare through Lux Med's Platinum package.
A MultiSport card to support your health and well-being.
Learning and development programs to help you grow professionally.
Family healthcare support through Maven and parental leave support through Parentaly.
Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members.
Financial well-being support through Northstar, with unlimited access to Certified.
Financial Advisors and planning tools at no cost to you.
Employee Resource Groups (ERGs) that foster connection and inclusion.
Eligibility for creative tax benefits, subject to applicable law, role, and company policy.
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote (Global); Brooklyn, NY
Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform.
About the Role
Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the Avalanche blockchain and its ecosystem.
Ava Labs is hiring a Staff Engineer into the Platform Engineering Group to serve as a full-time maintainer of AvalancheGo and the technical anchor for the node domain: consensus, peer-to-peer networking, state sync, the VM plugin interface, and the node's integration with the C-Chain EVM (coreth and libevm). This is a hands-on role that requires an Architect/Solver build, with tech lead responsibilities during coordinated network upgrades. You will own the health of the codebase, set the technical direction of the domain across the teams that build on it, and multiply the effectiveness of the engineers around you.
What You Will Do
- Own AvalancheGo as its maintainer: Maintain and advance the software powering the Avalanche network, as well as its environments. Manage contributions from both the team and the community in a fair, effective, and thoughtful manner. You hold the merge bar for network-critical code; assess contributions from the team and the community fairly and quickly, and steward backwards compatibility for the node operators and Avalanche L1 builders downstream of every release. Your review will be the last gate before code reaches every validator.
- Set and enforce engineering standards. Define what production quality means for the team.
- Design, build, and advance Avalanche’s critical systems. You’ll be contributing directly to the critical systems in the Avalanche network: consensus, networking (P2P), state management and sync, the VM interface, and performance of both the network nodes and their EVM integrations.
- Champion reliability and production readiness. Establish observability standards (structured logging, metrics, tracing, profiling), define SLOs for node performance, and lead incident review and postmortem culture for network incidents.
- Raise and define release quality. Own the engineering lifecycle for network-critical code: versioning and upgrade coordination, backward compatibility, staged rollouts across test networks, and hard test quality metrics (unit, property, fuzz, race-detection, and end-to-end network tests) before anything ships.
- Mentorship. Mentor senior engineers into larger scope, run design reviews that measurably change outcomes, and spread your context deliberately so the team can onboard, operate, and extend the node without you.Turn a team of individual contributors into a team with shared standards, shared context, and a high quality ceiling. Becoming a single point of failure is a failure mode of this role, and you will be expected to resist it.
- Evangelize the project within the org: Write ADRs, release notes, and technical communications; engage external contributors; and model what a great open source citizen looks like.
- Drive protocol direction through the ACP process. You originate and champion Avalanche Community Proposals, represent the node's constraints in protocol design conversations, and position AvalancheGo for upgrades before they activate on Fuji and Mainnet. Your bets play out over 6 to 18 months.
What Makes You a Good Fit
- A self-starter with insatiable curiosity combined with being comfortable diving into someone else’s code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there.
- Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft.
- You believe in growing a culture of excellence. As a Staff Engineer you will set the definition for development standards among your team, as well as cultivating the quality you want to see in the developers you work with.
- You understand what makes a great open source project great. Not just in terms of code quality, but in terms of its ecosystem, its community, and its contributors
- You have operated at Staff scope before, irrespective of whatever your title said. You can point to a workstream you created rather than inherited, one that other teams came to depend on, and to the case you built to get it funded.
- You influence without authority. You have driven technical direction across teams that did not report to you, through alignment and credibility rather than escalation, and engineers from those teams would vouch for it.
- You treat the code as the source of truth. You are comfortable diving into a large unfamiliar codebase, discerning its nuances from the source, and making impactful contributions within weeks.
- You know what makes a great open source project great: the code quality, and equally the review culture, the contributor experience, and the trust of the ecosystem that depends on it. You have been on the maintainer side of that relationship.
- You hold a high bar and make it stick. You have set standards that other engineers actually follow, pushed back when work below the bar tried to land, and done it in a way that made people want to work with you rather than around you.
- You still do the unglamorous work visibly. Reviews, on-call, migrations, and documentation remain part of the job at this level, and you treat them as the job rather than a distraction from it.
This Role Is Not for You If
- You want to write smart contracts or build dapps. This is node and protocol engineering, several layers down.
- You want a purely advisory position.
- You consider reviews, on-call, migrations, and documentation to be beneath the level. They remain part of the job, done visibly.
- You are uncomfortable working in public. Your code, your reviews, your design docs, and occasionally your mistakes will be visible to the entire ecosystem.
What You Will Bring
- 8+ years of software engineering experience, including 3+ years operating at a staff/lead level (or clearly performing at that scope), with a track record of raising team-wide engineering quality.
- Expert-level Go: deep fluency with the concurrency model (goroutines, channels, the race detector), profiling and performance tuning (pprof, benchmarks), module and dependency management, and idiomatic API design in large codebases.
- Significant open source experience - maintainer or sustained core contributor on a widely used project, with a public record of reviews, RFCs/design docs, and community engagement (a GitHub profile we can read is worth more than any bullet on a resume).
- Proven production experience designing, shipping, and operating distributed systems at scale: consensus or replication, P2P networking, state synchronization, or comparable high-availability systems.
- Strong testing discipline across the pyramid: unit, property-based/fuzz, integration, and end-to-end network testing, plus experience building CI that enforces it (GitHub Actions preferred).
- Experience with release engineering for software users self-host and cannot be force-upgraded: semantic versioning, backward compatibility, migration paths, and coordinated network upgrades.
- Working fluency with Linux-based infrastructure, containerization (Docker/Kubernetes), and observability tooling (Prometheus/Grafana or equivalent).
- BS in Computer Science or related field, or equivalent demonstrated experience.
(**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.)
WHY AVA LABS?
Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers.
We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital.
Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.
Location: London, UK
Workplace: Hybrid
ABOUT BEAMERY
With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies.
We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all.
We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people.
So, what are you waiting for? Join us and help us transform the future of work once and for all.
What’s ahead — and why it’s an exciting time to join the team:
Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions.
- Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market.
- Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour.
- Sharing our work and learning from industry peers through challenges, conferences and publications.
But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.
ABOUT THE OPPORTUNITY
Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction.
This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped.
WHAT WILL YOU BE DOING AT BEAMERY?
- Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads.
- Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers.
- Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship.
- Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence.
WHAT WE’RE LOOKING FOR
You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing.
Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure.
Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position.
PREVIOUS PROFESSIONAL EXPERIENCE:
- Data transformations using dbt, including patterns for large, complex projects
- Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation
- Back-end engineering: Python (nice to have: Typescript/Node.JS)
- Pipelines: streaming, CDC, correctness, replayability, and evolution over time
- Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response
- Infrastructure as code and containerisation (Terraform, Kubernetes)
OUR DATA STACK
Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one.
- DBT for data modelling and transformation
- BigQuery data warehouse
- Kafka for data streaming between systems
- PostgreSQL & MongoDB for databases
- Typescript/Node.JS on the backend
- Kubernetes
- Python
- Segment for customer-centric event collection
Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team.
Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com
Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.
Location: Remote (Ukraine)
About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.
Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.
Our values:
- Deliver what matters
- Respect and support others
- Initiate and own
- Voiceopenly
- Execute with quality
If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com.
About project
FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise.
What you will do:
- Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform.
- Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics).
- Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events).
- Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch.
- Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering.
- Performance optimization of queries and procedures in Redshift.
- Collaboration with BI Team, Product / UA / Billing analysts.
Key qualifications:
- 1-2 years of commercial experience in data engineering / analytics engineering / BI development.
- Experience with data warehouse, data lake and data lakehouse concepts.
- Proven experience in designing, implementing and supporting ETL/ELT pipelines.
- Experience with AWS, Amazon Redshift, Apache Airflow.
- Advanced SQL, hands-on experience in designing production-level Python code.
- Willingness to deal with business logic (subscription, monetization, attribution) — with team support.
Would be a plus:
- Experience with Infrastructure as Code (Terraform).
- Experience with dbt, Apache Spark, Apache Iceberg
- Experience with UA-attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin).
Employee Benefits:
- Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
- Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
- Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
- Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
- 100% Sick Leave Compensation.
- Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
- Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
- Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
- Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
- Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.
Location: Limassol; Belgrade; London
Workplace: onsite
About Unlimit
Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses.
Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents.
Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography.
This role owns three key reputation and growth channels at Unlimit: owned (email), earned (PR, media, reviews) and partnered (affiliates, publishers, referral partners). The goal is to ensure a consistent, credible brand story across every merchant touchpoint while driving commercial impact. Email is managed as a communications and campaign channel, while CRM systems and marketing operations remain the responsibility of the Marketing Operations team.
Key Responsibilities:
1. Email Marketing & Communications
Own the global email calendar, including newsletters, product launches, webinars, events, nurture campaigns and client communications.
Write, build, test and deploy email campaigns using existing templates and audience segments.
Manage QA, A/B testing, campaign optimisation and documentation of learnings.
Maintain email templates with Design and monitor list health, deliverability and compliance, escalating technical issues to Marketing Operations.
Ensure all email activity complies with GDPR and regional marketing regulations.
2. Reputation Management & PR
Own Unlimit's presence across review platforms, directories and comparison sites, ensuring profiles remain accurate and up to date.
Run review-generation initiatives and respond to public reviews in line with brand guidelines.
Monitor brand mentions, sentiment, media coverage and share of voice, providing regular insights and recommendations.
Support PR activities including media lists, award submissions, newsroom updates and thought leadership placements.
Coordinate reputation management by escalating issues, supporting crisis communications and improving branded search visibility.
Share customer and market insights with Product, Support and Commercial teams.
3. Affiliate, Publisher & Partner Marketing
Manage Unlimit's affiliate and referral programme, including partner recruitment, onboarding and performance.
Develop relationships with publishers, comparison sites, industry media and strategic partners.
Coordinate co-marketing campaigns, sponsored placements and partner content.
Ensure partner materials remain accurate, compliant and aligned with Unlimit's brand.
Track affiliate performance, ROI and attribution, working with Marketing Operations, Analytics and Finance.
4. Analytics & Reporting
Monitor KPIs across email, reputation and affiliate marketing.
Benchmark Unlimit's reputation and partner presence against key competitors.
5. Cross-Functional Collaboration
Partner with Product Marketing on launches and GTM campaigns.
Support events and webinars through email campaigns and partner promotion.
Contribute to marketing planning, vendor management and marketing technology initiatives.
Required Experience & Qualifications:
3+ years across marketing communications, PR, affiliate/partner marketing or brand management — ideally in B2B, fintech, payments, SaaS or another regulated sector.
Hands-on email marketing experience: building and sending campaigns in a marketing platform (HubSpot, Salesforce, Braze, Klaviyo, Mailchimp or similar), with a working understanding of segmentation and deliverability.
Demonstrable online reputation management experience — review platforms, public response handling, listening tools (Brandwatch, Meltwater, Mention, Sprout Social or equivalent) and sentiment reporting.
Experience running or supporting an affiliate, referral or publisher programme, including tracking, attribution and commercial negotiation.
Excellent written English and strong editorial judgement, especially for public-facing and sensitive responses.
Working knowledge of GDPR, consent-based marketing and advertising-disclosure requirements.
Comfortable with analytics: GA4, Looker Studio or equivalent, plus confident spreadsheet reporting.
Experience operating across multiple regions and time zones.
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: San Francisco, CA | New York City, NY | Seattle, WA
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 trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface.
We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result.
The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems.
You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like.
Key responsibilities
Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others.
Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against.
Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it.
Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology.
Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level.
Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures.
Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term.
Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them.
Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement.
Minimum qualifications
Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems.
Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements.
Experience taking hardware from architecture through bring-up and high-volume production deployment.
Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification.
Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one.
Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners.
Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment.
Strong written communication — you'll write specs and reviews that many teams depend on.
Preferred qualifications
8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms.
Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics.
Familiarity with the chip-package-system interface and co-design.
Experience establishing a new function, program, or engineering practice.
Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow.
Degree in EE, CE, ME, CS, or a related field, or equivalent experience.
Depth in one or more of:
High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect.
BMC and platform firmware, hardware root of trust, and secure boot.
48V/HVDC power delivery and direct liquid cooling.
Fleet-scale reliability engineering and RAS architecture.
Signal and power integrity.
Representative projects
Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan.
Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs.
Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it.
Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them.
Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end.
Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
УдалённоRemote - United States
УдалённоVilnius
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