Location: USA
Workplace: remote
JTX is our trading app, and it runs on the fastest market infrastructure on Solana, which we also built. What nobody has done yet is make that speed something a trader can feel. That is this job.
JTX is live. Two frontend engineers built it to this point and you would be the third. The work now is one to a hundred: harden what exists, make it hold up under real volume, expand onto mobile, and raise the ceiling on every screen a trader touches.
We're a small team with product-market fit. That means:
High ownership: every team member drives significant technical decisions and shapes our product roadmap.
Fast execution: we ship rapidly and iterate based on real-world feedback. Progress, not motion.
High quality bar: the details are the product. We don't trade them for speed.
About the Position
You'll own the surface of JTX across web and mobile: order entry, market data, charts, positions, execution quality, onboarding, and the wallet flows underneath all of it.
The role suits a generalist with strong taste. You'll partner with design, product, and the infrastructure team, and you'll make architectural calls that stick for years. If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role.
Stack: React 19 + TypeScript on Next.js. Jotai + TanStack Query. Tailwind with a token-based design system. TradingView Advanced Charts on our own datafeed. Privy wallets. WebSockets to our engine. Web ships as a PWA; native mobile apps are in development.
What's Hard Right Now
Data freshness: several live WebSocket streams (order book, trades, candles, stats) feed many panels at once; keeping them fast, consistent with each other, and honest through async gaps (stale quotes, pending fills)
Performance: a data-dense terminal that stays smooth under constant streaming updates, including on mid-range hardware
Security: wallet signing, session auth, strict CSP, hardened supply chain
Shipping volume: three engineers own the entire surface of a live exchange; the backlog is bigger than the team, so throughput and prioritization are part of the job
Keeping product behavior and design language consistent between web and mobile while being very attentive to nuances of each mobile platform
Making execution quality something a trader can see in a glance instead of something they take on faith
What You'll Do
Build and own the JTX client across web and mobile
Ship real-time trading interfaces: order books, charts, order entry, positions, fill and execution visibility
Hit tight latency and render budgets against streaming market data, and decide what belongs on the client versus the server
Build wallet and signing flows, including self-custodial and embedded wallet onboarding
Own the shared component, state, and data layers the rest of the product team builds on
Make architectural decisions that hold as the codebase, the team, and the user base grow by an order of magnitude
Ship fast, watch real users, iterate
What We're Looking For
Attention to detail bordering on obsessive. You can look at a screen and say what is wrong with it, and it bothers you until it's fixed.
5+ years building production frontend, including something real-time, data dense, or financial
Deep React and TypeScript. You can explain why a component re-rendered and then fix it.
Mobile experience: React Native, Expo, or native iOS and Android
Strong fundamentals: browser performance, memory, websockets, network behavior under load
Security-first instincts around signing flows, key handling, and what should never touch a log
Comfortable in a codebase that is already live. You can refactor and clean up without stopping shipping.
Able to weigh business and engineering tradeoffs, and to explain complicated things simply
Relevant Background
If you have experience in any of the following, you may be a good fit:
Trading terminals, exchange or brokerage frontends
Consumer fintech apps at scale
Charting, time series, or high-frequency data visualization (canvas, WebGL)
Solana or EVM app development, wallet integrations, transaction signing
Maintaining a public TypeScript library or design system
Location: Milwaukee, WI
QA/QC Manager
Location:
Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations)
Employment Type:
Full-Time
Work Environment:
Primarily Site-Based (Long-Term Project Assignments)
Ensure Quality Across World-Class Mission-Critical Infrastructure Projects
The successful delivery of hyperscale data centers and mission-critical infrastructure depends on uncompromising quality at every stage of execution. From site development and underground utilities through structural concrete, power infrastructure, telecommunications systems, commissioning, and final turnover, quality must be embedded into every aspect of project delivery.
As a
QA/QC Manager
, you will lead quality assurance and quality control activities supporting some of North America's largest hyperscale data center developments. Your efforts will help ensure work is planned correctly, executed properly, documented thoroughly, and delivered in accordance with project requirements and customer expectations.
You will play a critical role in supporting project readiness, reducing rework, improving execution consistency, and ensuring successful commissioning and turnover outcomes.
About Michels Infrastructure Solutions
Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a
Super General Contractor (Super GC)
model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution.
By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost.
MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects.
Position Overview
As a
QA/QC Manager
, you will lead quality assurance and quality control activities across large-scale hyperscale data center and mission-critical infrastructure projects.
During the early phases of project delivery, you will support quality planning activities associated with site development, underground utilities, concrete construction, telecommunications infrastructure, power systems, and construction readiness programs. As projects advance, you will oversee inspections, testing, documentation, turnover preparation, commissioning support, corrective-action programs, and owner acceptance activities.
You will be responsible for developing, implementing, and maintaining project-specific quality programs while ensuring work complies with contract requirements, technical specifications, codes, standards, customer requirements, and established project procedures.
This role serves as a key partner to Project Management, Construction Management, Engineering, Procurement, Field Operations, Commissioning, Quality Personnel, Subcontractors, Vendors, and Customers throughout the project lifecycle.
Success requires strong technical expertise, leadership capabilities, organizational discipline, attention to detail, and a proactive approach to identifying and resolving quality concerns before they impact project execution.
Key Responsibilities
Develop, implement, and maintain project quality-assurance and quality-control programs.
Ensure construction activities comply with project specifications, contract requirements, quality standards, codes, and customer expectations.
Establish quality requirements supporting civil, utility, structural concrete, telecommunications, electrical, power, and commissioning activities.
Oversee inspection and testing activities across multiple construction disciplines.
Manage quality documentation, inspection reports, testing records, punch lists, non-conformance reports (NCRs), corrective-action programs, and turnover documentation.
Coordinate quality activities with project teams, commissioning personnel, subcontractors, vendors, suppliers, and customers.
Monitor quality-performance trends and identify opportunities to improve execution consistency and project outcomes.
Drive continuous-improvement initiatives that strengthen quality performance and project execution.
Support project-turnover readiness and long-term quality-management objectives.
What You'll Do
Lead QA/QC efforts supporting hyperscale data center and mission-critical infrastructure projects.
Review construction drawings, technical specifications, contracts, quality plans, inspection requirements, testing protocols, and customer standards.
Develop and maintain Inspection and Test Plans (ITPs), quality-management plans, inspection schedules, and project-quality procedures.
Conduct site inspections, audits, field observations, quality assessments, and compliance reviews throughout construction activities.
Verify compliance with project requirements related to mass grading, earthwork, underground utilities, structural concrete, telecommunications systems, power infrastructure, and commissioning activities.
Coordinate testing, inspection, and acceptance activities with internal teams, subcontractors, vendors, engineers, and third-party testing agencies.
Manage non-conformance reporting, root-cause analysis, corrective-action plans, issue-resolution processes, and lessons-learned efforts.
Coordinate with project teams to ensure quality requirements are integrated into project-execution and construction-planning activities.
Track quality metrics, inspection logs, turnover documentation, test reports, deficiency tracking, and commissioning records.
Support customer audits, owner inspections, commissioning activities, acceptance testing, and final turnover requirements.
Assist with development and review of as-built documentation, turnover packages, quality records, and owner-deliverable requirements.
Provide quality training, mentoring, coaching, and guidance to project personnel and subcontractors.
Support project-closeout efforts to ensure quality records and turnover documentation are complete, accurate, and audit-ready.
Leadership & Team Development
Lead and mentor QA/QC Inspectors, Coordinators, Specialists, and assigned quality personnel.
Establish quality standards, inspection expectations, documentation requirements, and reporting processes.
Foster a culture that emphasizes accountability, craftsmanship, continuous improvement, and ownership.
Partner with project leadership to ensure quality is incorporated into planning, procurement, execution, commissioning, and turnover activities.
Promote proactive problem-solving and prevention-focused quality management throughout the project lifecycle.
Why Michels Infrastructure Solutions, Inc.?
We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects.
We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach.
We provide exposure to every phase of project delivery, from greenfield site development through commissioning and turnover.
We provide opportunities to lead quality programs supporting nationally significant infrastructure projects.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We offer opportunities for long-term growth in quality, commissioning, project management, operations, and leadership.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You believe quality is built into the work, not inspected into it.
You enjoy solving complex technical and operational challenges.
You thrive in environments where attention to detail and accountability drive success.
You enjoy identifying issues early and helping teams prevent problems before they occur.
You take pride in delivering work that is complete, compliant, and ready for customer acceptance.
You are motivated by ownership, continuous improvement, and delivering exceptional project outcomes.
You want your efforts noticed and your results to make a meaningful impact.
You want to work to make a difference.
What It Takes
Bachelor's degree in Construction Management, Engineering, Quality Management, Civil Engineering, or a related discipline and
7+ years of quality assurance, quality control, construction management, engineering, commissioning, or related experience
, or an equivalent combination of education and experience.
Experience supporting large-scale mission-critical, hyperscale data center, EPC, industrial, power, utility, heavy civil, or infrastructure construction projects.
Strong understanding of quality-management systems, inspection processes, testing programs, commissioning requirements, turnover readiness, and owner-acceptance procedures.
Experience developing and implementing project-quality plans, inspection programs, audit programs, testing strategies, and corrective-action processes.
Experience evaluating earthwork, underground utilities, structural concrete, telecommunications, fiber, power infrastructure, industrial systems, or mission-critical construction activities.
Ability to read and interpret construction drawings, technical specifications, contracts, quality standards, test reports, and inspection requirements.
Experience managing NCRs, punch lists, root-cause analysis programs, corrective-action plans, and quality investigations.
Experience supporting commissioning activities, turnover packages, as-built documentation, deficiency management, and owner-acceptance processes.
Experience coordinating with testing laboratories, inspection agencies, commissioning teams, subcontractors, and customer quality representatives preferred.
Proficiency with Microsoft Office Suite and experience with Procore, Autodesk Construction Cloud, Bluebeam, BIM 360, SharePoint, Aconex, InEight, or similar construction-management platforms preferred.
Quality certifications such as CQM, CQM-C, ASQ, ISO Auditor, AWS-CWI, NICET, or related credentials are preferred but not required.
Strong leadership, communication, organizational, analytical, and problem-solving skills.
Ability to effectively collaborate with project teams, field personnel, customers, subcontractors, vendors, and commissioning personnel.
Valid driver's license with an acceptable driving record.
Ability to support long-term, site-based assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with significant interaction occurring directly with construction operations, commissioning teams, and project leadership. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards.
Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: San Francisco, CA
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
THE OPPORTUNITY:
Column runs on infrastructure we built ourselves, with no legacy banking core underneath it — which means when something needs auditing, there's no vendor to point to and no black box to wave at examiners. We're looking for a high-agency audit professional to own that problem, with a focus on Information Technology and Security alongside core banking, BSA/AML, and fintech-specific risk.
You'll run the full audit lifecycle — risk assessment, planning, fieldwork, reporting, follow-up — working directly with Information Security, Engineering, Payments, BSA/AML, Compliance, Lending, Growth, and TPRM. This isn't a background function checking boxes after the fact: you'll be embedded with these teams as they build, and what you find will shape how Column governs itself while scaling a nationally chartered bank.
This role is based in our Presidio office in San Francisco and follows a 3-4-day/week, in-person schedule. You will report to Column's Head of Internal Audit.
WHAT YOU'LL DO:
- Design, lead, and execute end-to-end audits — scoping, fieldwork, reporting, issue follow-up — across core banking, technology, compliance, fintech partnerships, lending, payments, cards, and API infrastructure. Report findings straight to senior leadership.
- Own a risk-based audit plan built for what Column actually is: a software company running a regulated bank. Evolve it as we grow.
- Partner directly with Engineering and Information Security to audit SDLC, data protection, IAM, cybersecurity, cloud infrastructure, AWS, and how AI is used in our development process.
- Audit third-party risk management and fintech partner oversight against regulatory expectations.
- Use data analytics and AI to surface emerging risks, automate testing, and make audit faster and more efficient.
- Evaluate risk and control effectiveness across IT/IS, BSA/AML, sanctions, fair lending, consumer protection, privacy, and ALM/interest rate risk — grounded in NIST and regulatory expectations from the OCC, FRB, and FDIC.
- Manage third-party audit staff to keep delivery sharp and on time.
- Partner with the Head of Internal Audit level up the function itself: Audit Committee materials, QA, risk assessment, metrics.
WHAT YOU'LL NEED TO BE SUCCESSFUL:
- 5-10 years of audit, risk, or compliance experience in banking, fintech, consulting, or technology
- Real technology audit depth — IT risk, cybersecurity, modern software development, including how AI is changing the dev process
- Hands-on audit ability in a cloud-native environment: AWS IAM, CI/CD, infrastructure as code (Terraform), secrets management
- Comfortable pulling and interpreting data straight from CloudTrail, Datadog, and Okta — via API or query, not just a dashboard
- Working knowledge of BSA/AML, sanctions (KYC, CDD, SAR, OFAC), and core banking regulation (OCC, FRB)
- You build trust fast — with engineers, senior leadership, and regulators
- CISA, CISSP, CIA, CISM, or CRISC certifications a plus
WHAT YOU'LL GET FROM US:
- 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents!
- 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses
- 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office
- 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses
- 📈 401k plan, including self-directed brokerage options
- 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge
- 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers
- 😇 Up to $4,500 in annual reimbursements for backup childcare
- 🍽️ Catered lunches and dinners for SF employees
- 🚆 Commuter benefits, including paid transportation to-and-from the office
- 🎉 Regular team building events, including annual offsite
PAY TRANSPARENCY:
Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
The annual US base salary range for this role is $150,000 - $200,000 + equity.
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: Arizona_Remote
The Opportunity
We're looking for a Product Manager who is passionate about understanding customer problems, validating opportunities, and leading cross-functional teams to deliver measurable business outcomes. You'll own a product area
focused on backoffice (cloud data processing) solutions, driving product strategy and execution, charting the roadmap, and managing the lifecycle of Verra Mobility’s market leading systems. As a member of the Product Management team, you will partner with leaders across the product, operations, engineering, IT, and sales teams to drive innovation and leverage the latest technologies to deliver best-in-class backoffice systems that achieve business objectives. The successful candidate will be passionate about technology with an ability to lead innovation and execution. In this business-critical role, you will merge customer needs with technology to cast a vision for Verra Mobility’s legacy and future backoffice solutions and drive the organization toward that goal. You will collaborate with key internal stakeholders to manage the backoffice systems across their lifecycle, gathering requirements, scoping initiatives, establishing product roadmaps, and working with development and support teams to ensure high product quality while minimizing cost.
You’ll join a product squad with a defined problem space, embedded alongside a technical lead and engineering team. But this isn’t a backlog-grooming role, as you’ll own discovery
: getting in front of customers, validating the problems, stress-testing potential solutions, and driving a roadmap that delivers measurable outcomes. You’ll report directly to the Director of Product and operate as a key product leader as we build toward a modern Product Operating Model.
What
You’ll
Do
Own the problem, drive discovery
Lead continuous customer discovery, including interviews, ride-alongs, and data analysis, to validate problems and pressure-test solutions before committing to build.
Frame customer and business problems with clarity and evidence, ensuring the team works on what truly matters.
Define and maintain a prioritized roadmap grounded in measurable outcomes, rather than a feature wish list.
Balance user needs, business objectives, and technical feasibility, using sound judgment and solid product sense.
Partner early with Legal, Compliance, and Operations functions to shape viable solutions.
Own the problem end-to-end, make tough prioritization calls, document your reasoning and outcomes.
Guide delivery and build trust with your squad
Partner closely with your technical lead and engineering team, creating context, removing ambiguity, and enabling the squad to move with speed and confidence.
Collaborate closely with your design lead to ensure solutions are not just technically sound but also user centered.
Write crisp, outcome-oriented briefs and acceptance criteria; avoid over-specifying implementation details, and focus on why the problem matters and what success looks like
Leverage AI tools to accelerate discovery synthesis, documentation, and delivery workflows.
Share your approach to discovery and product thinking with peers, contributing to a growing product practice.
Connect product to impact
Develop a working understanding of how products drive revenue, retention, and operational efficiency for our customers.
Contribute to go-to-market strategy by informing pricing, positioning, and launch readiness in close collaboration with commercial teams.
Define and track success metrics that link customer outcomes to business performance.
Serve as the internal expert for your product area trusted by sales, operations, and leadership.
What
We’re
Looking For
Required
3–7 years of product management experience, with a track record of owning outcomes.
Experience leading customer discovery and translating qualitative and quantitative insights into product decisions.
Ability to operate effectively in a cross-functional squad environment alongside engineering and design peers.
Experience in regulated or complex-domain industries, such as automotive, fleet, payments, fintech, or similar, with a demonstrated record of learning new domains.
Comfort working in and contributing to organizations evolving their product operating model.
Active use of AI tools to enhance productivity in day-to-day product work, such as discovery workflows, streamlining documentation, automating research, creating prototypes, and accelerating delivery.
Excellent written and verbal communication: you write clearly, tailor your message to different audiences, and tell a coherent product story.
Strong critical thinking and a bias toward evidence over opinion.
Great to Have
Knowledge of the transportation/smart mobility sector and road safety is a plus
Familiarity with product tooling such as Aha!, Azure DevOps, JIRA, or comparable platforms.
Experience working with compliance, legal, or regulatory stakeholders in a multi-jurisdictional environment.
What Success Looks Like
In this role, you’re not measured by how much you ship, you’re measured by the outcomes you drive with your team. In your first year, success looks like:
Deep fluency in the assigned problem space, backed by direct customer and stakeholder engagement.
A validated, outcome-oriented roadmap your squad believes in and can execute against.
Demonstrated velocity in shipping, learning, and adjusting with confidence.
Trusted relationships that enable influence without authority to drive alignment across engineering, design, commercial, and other operational functions.
Clear evidence of customer impact: reduced friction, improved adoption, or measurable efficiency gains.
Logistics
Location: Preference given to local candidates in our Mesa, AZ headquarters or New York City office. Will consider remote candidates who express willingness for occasional travel.
Travel: Light, primarily for team offsites and customer engagement.
Reports to: Director of Product.
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Choose Courage Over Comfort.
We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Companies are adopting AI across more teams, but most still struggle to produce real workflows, measurable outcomes, and efficient spend. Ramp’s AI Solutions team helps customers turn that spend into working systems: agents, automations, and integrations that run real finance operations, built on top of Ramp’s growing AI product stack, including Glass, Inspect, Router, and Token Spend Management.
As a software engineer on AI Solutions, you'll co-lead customer engagements with an AI Solutions Strategist while also helping turn repeated customer needs into platform capabilities across Ramp’s AI product stack. The Strategist owns business discovery, the ROI story, stakeholder alignment, and rollout planning. You own the technical side: discovery, solution design, prototyping, implementation, production readiness, and the product feedback loop back into our platform and AI primitives.
This is a deeply client-facing, hands-on building role based in New York, with occasional travel depending on engagements. You'll take projects from a customer's first workflow-discovery sessions through launch and into steady, measurable production use — then turn what you learned into reusable product patterns the next customer can adopt without starting from zero.
WHAT YOU'LL DO
- Ship production AI workflows for the companies we partner with — agents, automations, and integrations their teams use every day.
- Translate customer work into platform work by identifying needs across deployments and helping improve Ramp’s AI primitives.
- Make the next deployment easier by turning customer specific work into reusable components, product feedback, reference architectures, and playbooks.
- Run technical discovery with customers: current workflows, systems, data quality, constraints, and what's blocking adoption.
- Turn customer goals into concrete requirements, including security, privacy, reliability, performance, scalability, and cost.
- Prototype fast with end users to de-risk the approach before you build it out.
- Own the technical plan end to end: architecture and data flow, integrations across Ramp and customer systems, permissions and auditability, evals and acceptance tests, and monitoring and runbooks.
- Measure what you ship — quality, adoption, and cost — and stay with it until it's reliable, supportable, and handed off.
WHAT YOU NEED
- A track record of building from 0 to 1 in ambiguous environments: finding the real problem, shipping a first version quickly, learning from users, and hardening it over time.
- Hands-on experience building LLM systems — agents, RAG, evals, and monitoring — and sound judgment on trade-offs like quality, latency, cost, and model choice.
- Strong coding ability in Python, TypeScript/JavaScript, Java, Go, or similar.
- Comfort working across APIs, integrations, data pipelines, and cloud infrastructure (AWS, GCP, or Azure), and designing systems that are secure and scale.
- Experience working directly with customers or end users: you can scope an ambiguous problem with a room of stakeholders and write clear technical docs afterward.
- Strong written communication. You can produce technical plans, customer facing explanations, handoff docs, and clearly explain tradeoffs.
- Willingness to travel up to ~50%, flexible based on project and customer needs.
Nice to have
- Background in forward deployed engineering, solutions architecture, technical consulting, or sales engineering.
- Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
- Experience turning repeated customer needs into reusable product primitives, internal tools, or implementation playbooks.
- Experience optimizing AI cost or performance, such as model routing, caching, or token spend analysis.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Singapore Office
Workplace: Hybrid
Operating beyond the scope of conventional services or solutions engineering, Deployment Strategists function as embedded technical advisors. You will manage the entire spectrum of customer outcome, initiating with deep discovery and investigative work and culminating in the design, integration, and long-term empowerment of the user.
This position exists at the nexus of analytical rigor, specialized domain knowledge, and strategic customer partnership. You will engage directly with clients to internalize their operational goals, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on robust investigative instincts, technical proficiency, and the capacity to cultivate trust through hands-on expertise and field credibility.
In this role, you’ll:
- Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery
- Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes
- Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products
- Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure
- Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility
- Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences
- Pre-sales technical engagement for complex and strategic deals, helping customers understand what's possible and how to get there
- Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence
- Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider team
We’re looking for candidates who have:
- Both spoken and written Mandarin fluency
- Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment
- Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows
- Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments
- Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives
- Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment
Required Skills:
Technical Skills
- Proficiency in Python and SQL for data analysis, transformation, and solution development
- Experience building notebooks, dashboards, and analytical workflows
- Solid understanding of data modelling, querying, and working with large datasets
- Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products
Domain Expertise
- Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk
- Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them
- Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory
Customer & Communication Skills
- Proven ability to build trusted, long-term customer relationships through technical and domain credibility
- Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders
- Comfortable leading customer sessions, workshops, training, and technical working groups
- Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
Canonical builds the open-source software that runs the world’s clouds, devices and AI, and we hold our managers to a high standard. Our Talent Development team exists to make leaders and managers at Canonical genuinely excellent. We define what great management looks like here, and we bring managers and leaders up to that standard through direct, hands-on work, both from the centre and embedded inside engineering and commercial organisations.
As a Senior Organisational Development Practitioner you are the person who sets the bar for how coaching and organisational development is practised here. You coach leaders to a clear standard of management excellence. You diagnose how a whole organisation is led and drive the plan to raise it. You develop the practitioners working in the field. It is one of the most senior and demanding Talent roles at Canonical: hands-on coaching and organisational-development craft with real leaders, in a company that expects you to be credible in a room of directors and to earn that credibility fast.
You work both from the central team and embedded inside a leader's organisation for periods, turning what you learn in the field back into how we develop leaders and managers across Canonical.
Location: These are remote based positions, available across EMEA and the Americas.
What you deliver
Raising individual leaders
Coaching leaders to visibly raise their game against a clear standard of management excellence.
Landing the hard conversations, because you coach leaders to make them happen.
Turning 360 feedback into real, followed-through commitments, not a report that gets filed.
Lifting organisations and the company
Leaving an organisation you take on visibly better led, off a sharp first-weeks diagnosis and a plan you own and drive.
Contributing to defining and implementing new ways of working across our globally distributed company.
Building the function and its standards
Developing the practitioners in the field so they get visibly better at their craft under your supervision.
Setting the bar for how coaching and organisational development is done at Canonical: owning what exceptional looks like, proving the methods in the field, and holding the practice to them.
Sharpening the management-excellence standard itself across Canonical, by feeding back what you learn in the field.
What we are looking for in you
Deep, hands-on coaching and organisational-development practice with real leaders and teams, not just programme design.
A track record of measurably changing how leaders behave, with specific examples you can talk through.
Credibility: you can walk into a room of directors and be taken seriously.
Effectiveness operating inside someone else's organisation without formal authority.
A clear and honest philosophy of development: you know where coaching helps, and you are candid about where a role or fit decision is the right call.
An exceptional academic track record from high school and university.
Excellent written and spoken English.
Sincere personal motivation aligned with our mission.
Willingness to travel up to 4 times a year for internal events.
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity.
Reliable, delivering high quality work that builds trust and confidence.
Accessible, collaborating to build products and systems that are usable.
Adroit, blending enthusiasm, knowledge, adaptability, style and character.
Nice-to-have skills
A management-consulting background: comfortable with ambiguity, able to diagnose, propose and move.
Experience coaching across a distributed, fast-moving, technical organisation.
Experience building competency or development frameworks.
Experience designing and running effective workshops or training sessions, in person and online.
Learning-design judgment for development materials. We want the design sense; AI handles the production drafting.
Talent-development experience, valued alongside but secondary to coaching and consulting craft.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want:
This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Solutions Consultant VP, you’ll be embedded in the Revenue team and report directly to the VP, Solutions Consulting. In this role, you'll work closely with our sales representatives to convey Garner's value proposition and technical product design to high-value prospective customers. With the support of Garner's Data and Product teams, you will design solutions to serve new business and serve as a technical liaison for our clients.
What you will do:
Develop a deep understanding of Garner’s Employer and Provider products and our clinical methodologies
Serve as the subject matter expert in presenting our cutting-edge healthcare platforms during the sales process
Help manage relationships with high-value prospects
Clearly and persuasively communicate Garner’s capabilities and unique value propositions
Project-manage technical solution design and RFP responses to support critical new business opportunities
Stay informed about industry trends, regulations, and emerging technologies, leveraging this knowledge to drive product enhancements
Who we're looking for:
A minimum of 6 years of experience in healthcare consulting or technical sales, including at least 2 years in a role dedicated to presenting complex and data-rich methodologies and analyses
Exceptional communication and presentation skills, with the ability to articulate complex concepts clearly and persuasively
Strong analytical and problem-solving skills, with a track record of developing and implementing successful platform strategies
An ability to manage complex projects and achieve results against tight deadlines
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
Experience working in a rapidly evolving startup environment preferred
A desire to be a part of our mission to improve the U.S. healthcare system
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The total compensation range for this position is $250,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: New York
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 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
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's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$605,000 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: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Platform Engineer on the Builder Experience Team at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications.
WHAT YOU’LL DO
- Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem
- Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams
- Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products
- Drive enhancements in CI/CD pipelines, automation, and developer workflows to increase deployment speed, reliability, and confidence across teams
YOU BRING
- 2-9 years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments
- Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster
- Deep expertise in distributed systems, asynchronous processing, and high-availability platform services
- Production experience in AWS cloud environments and building cloud-native infrastructure
- Demonstrated experience designing and building agentic developer tools that empower automation, collaboration, or intelligent workflows
- Strong experience working with CI/CD pipelines and driving continuous integration and delivery improvements
- Drive and proactivity – everyone here is a builder and executor
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Canada; United States
Role:
We are is looking for qualified
Payload System Verification and Validation Engineers
to join our advanced satellite payload development team. This role focuses on system-level engineering of next-generation digital communications payloads, with a strong emphasis on
requirements verification through test
.
The selected candidate will contribute to the entire payload lifecycle — from architecture definition and requirement specification to integration, verification, and in-orbit validation. The role requires good understanding of both
digital signal processing
and
RF payload architectures
, especially involving
Software Defined Radio (SDR)
and
Direct Radiating Array (DRA)
systems.
Tasks
Define, analyze, and validate system and subsystem requirements for digital telecommunications payloads.
Develop and execute
verification plans
, including defining test strategies, writing test procedures, and analyzing results.
Lead or support system-level payload test campaigns, both at equipment and spacecraft level.
Interface with payload hardware and software teams to ensure correct implementation and traceability of requirements.
Participate in technical reviews and support anomaly investigation and resolution.
Work with multi-disciplinary teams including RF, digital, embedded software, FPGA, and systems engineering.
Contribute to technology evolution by identifying opportunities for design optimization and innovation.
Must haves
Bachelor’s degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field.
5 years+ of experience
in telecommunications systems, particularly in digital payloads. (experience outside of the Space industry will also be considered)
Strong expertise in requirements verification by test
, including practical experience in developing and executing test plans.
Solid understanding of
digital payload architectures
, including SDR-based flexible processors and beamforming using DRA.
Familiarity with
hardware and software tools
used in payload verification, such as:
Vector Network Analyzers (VNA)
and
Spectrum Analyzers
for RF testing
Baseband signal generators
,
Channel Emulators
, and
BER testers
Python
,
MATLAB
, or
LabVIEW
for test automation and data analysis
SCPI
,
VISA
, and similar interfaces for instrument control
Good understanding of FPGA-based systems and embedded software architectures is a plus.
Must be eligible to work in Canada, capable of obtaining necessary security clearance.
Complementary skills/knowledge
Previous experience in Space or Constellation Operations
Development and testing of new automated testing methodologies
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work autonomously and with little to no supervision
Written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Montreal, Canada
The
Platform Systems Verification and Validation (V&V) Engineer
focuses on the
satellite bus
, ensuring the core infrastructure subsystems are fully verified and ready to support the payload.
Role Overview
This role focuses on the functional verification of the utility subsystems that keep the satellite alive and oriented. It ensures the core platform—including power, thermal control, propulsion, and pointing—operates flawlessly and responds correctly to the onboard flight software.
Key Responsibilities & Tasks
Bus Subsystem Verification
: Test and validate critical platform subsystems, including Attitude Determination and Control (ADCS), Electrical Power Subsystems (EPS), Thermal Control (TCS), and Propulsion.
Hardware-in-the-Loop (HIL)
: Utilize HIL testbeds to simulate orbital dynamics and sensor inputs (star trackers, GPS, sun sensors) to verify ADCS pointing accuracy.
Power & Harness Validation
: Perform power budget verification, battery charge/discharge cycle testing, and solar array simulator (SAS) integration.
Flight Software (FSW) Interfacing
: Test command routing, telemetry packet generation, and fault detection, isolation, and recovery (FDIR) loops.
Subsystem Interface Control
: Verify that all physical, data (CAN, SpaceWire, RS-422), and electrical interfaces between platform subsystems are compliant.
Candidate Prerequisites ("Must Haves")
Experience
: 5+ years verifying aerospace subsystems, embedded robotics, or satellite platform architectures.
Technical Breadth
: Strong knowledge of power electronics, orbital mechanics, thermal management, or control systems.
Simulators & Automation
: Experience with automated test scripting (Python/MATLAB) to control power supplies, loads, and simulated sensor inputs.
Protocol Expertise
: Familiarity with space-industry data protocols and avionics testing architectures.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems.
About the Role
Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure, including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform, and acts as the embedded platform liaison for the product teams built on top of them.
As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support.
Responsibilities
Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them.
Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability.
Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue.
Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet.
Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues).
Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts.
Mentor engineers and participate in on-call rotations.
What You Bring
Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal.
8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres.
Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines.
Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of.
Working knowledge of Infrastructure as Code (Terraform).
Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system.
Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support.
Nice to Have
Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure.
MongoDB or DynamoDB operational experience.
Experience with pgbouncer, connection pooling, and query-level performance diagnostics.
Prior work on platform cost optimization initiatives at multi-cluster scale.
Exposure to regulated or high-availability environments (gaming, fintech, or similar).
Who Thrives Here
Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction.
Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces.
Communicates effectively across regions and time zones (US, UK, Ireland).
Cares about platform reliability, developer experience, and long-term system health.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$172,800
—
$216,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Mapbox US
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT WE DO
Mapbox is looking for a Senior Software Engineer to join our Security & Compliance team. As a member of our diverse and globally distributed team, you’ll help all Mapbox engineers build secure-by-default systems. Engineers on the Security & Compliance team build scanning and threat detection systems to monitor Mapbox’s cloud deployment (AWS-native, mainly container-based, 7 global regions including China) and other digital assets. They conduct risk assessments of new vendor integrations and product launches, and facilitate a bug bounty program that leverages the diverse expertise of a global community of security researchers. Lastly, they build and maintain core standards around security, quality, and privacy—reflected in our compliance certifications—and the automation to monitor and enforce these standards across Mapbox.
WHAT YOU'LL DO
We’re excited to share our passion for scalable, engineering-driven, security with you, and for your perspective to help shape our team’s goals. You will be responsible for contributing to, operating, and improving all things related to our security and compliance services. In this role, you can expect to:
- Conduct AWS security reviews (deep dive into our AWS environment to validate security best practices are being followed).
- Make security improvements recommendations and work with our production support teams to implement security improvement in AWS.
- Partner with the Lead Security Architect in fixing custom-built security tools bots.
- Conduct in-depth security reviews of application code, working closely with developers to code securely from the outset and address issues early during coding and testing phases.
- Partner with internal product teams to implement a secure-by-default design into their own products.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT FOR THIS ROLE
- Bachelor’s or higher degree in Computer Science or similar
- 5+ years of experience in product or application security and related software engineering roles
- Experience with AWS services like GuardDuty, CloudTrail log review, IAM, Security Groups, CloudFront, CloudFormation, S3, ECS, Lambda, DynamoDB and RDS.
- Proficiency in a programming language (e.g. Python, JavaScript or Node.js or TypeScript), testing practices, and documentation.
- Subject matter expertise in security best practices and the ability to quickly make correct risk assessments that prioritize the overall benefit to the company.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Comprehensive Healthcare: Private medical coverage for you and your dependents.
- Family-First Support: Generous maternity and paternity leave policies to support your growing family.
- Fertility & Family Building: Inclusive fertility support. Grow your family on your terms.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
- Invest & Grow: Retirement plans with competitive matching.
Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information.
By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy https://www.mapbox.com/legal/privacy which is linked here.
Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation https://drive.google.com/file/d/1rVYht6vc6QJmVzwML1rlh3BFboC-JkGe/view?usp=drive_link and Right to Work https://drive.google.com/file/d/1Pnzz1t8ueq8iPftJ7kqPOGoTnD5mqi0H/view?usp=drive_link posters for more information.
Applications are accepted on an ongoing basis. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Milwaukee, WI
San Francisco, CA
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Location: Preference given to local candidates in our Mesa, AZ headquarters or New York City office
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
ГибридSingapore Office
УдалённоseniorHome based - EMEA
УдалённоГеография найма не уточнена
УдалённоseniorNew York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
УдалённоseniorNew York
УдалённоSingapore
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
Canada; United States; [Fastwater Staffing] Payload System V&V Engineer | Montreal, Canada (Full Relocation Package)
New York, NY, United States; Communicates effectively across regions and time zones (US, UK, Ireland)
Автоотклики