Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners.
Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience in financial systems, ledgering, treasury or adjacent domains where data accuracy and system reliability are critical.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Base Pay Grade - P
Equity Grade - Canada 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $181,000 - $241,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners.
Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience in financial systems, ledgering, treasury or adjacent domains where data accuracy and system reliability are critical.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade - P
Equity Grade - USA 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Montreal, Canada
As a Senior Electrical Satellite Systems Engineer, you’ll play a pivotal role in ensuring end-to-end mission success. You will lead the definition, integration, verification, and operational readiness of the satellite electrical architecture — from subsystem trade studies and design reviews to launch and early orbit phases.
You’ll act as a technical authority across payload and bus domains, mentoring junior engineers and serving as a trusted point of contact for operators, customers, and launch partners.
Key Responsibilities
System Design and Development
Support ongoing design of electrical subsystems through final flight design, build, and test.
Define system requirements and maintain performance budgets across power, data, and reliability.
Requirements Management
Maintain system requirements, verification, and test matrices from mission level down to subsystems.
Technical Analysis
Perform and manage analyses including power budgets, failure mode analysis, and reliability.
Interface Control
Manage interface control documents (ICDs) to ensure proper electrical connections between subsystems.
Testing and Verification
Develop and oversee execution of test plans and procedures to verify and validate satellite performance through qualification and LEOP phases.
Documentation
Prepare and maintain design reports, specifications, and verification matrices.
Team Leadership
Provide technical guidance and mentorship to junior engineers and collaborate with multidisciplinary teams (software, mechanical, ground segment)
Supplier and Project Management
Oversee subcontractors and vendors to ensure compliance with program requirements.
Program Support
Participate in major reviews including SRR, PDR, CDR, TRR, PSR, and LRR.
Required Skills and Experience
Education
Bachelor’s or Master’s in Electrical Engineering, Systems Engineering, Aerospace Engineering, or a related field.
Experience
15+ years in satellite systems design for LEO constellations, with full lifecycle experience.
Technical Expertise
Systems Leadership & Architecture
Define spacecraft electrical system architecture ensuring optimal payload–bus integration.
Develop and maintain system-level documentation (Satellite Reference Database, Parameter Book, CONOPS).
Oversee subsystem interfaces for avionics, power, AOCS, propulsion, TT&C, thermal, and data handling.
Own requirements management, flow-down, and traceability across the project lifecycle.
Conduct gap analyses and ensure subsystem requirements meet mission-level objectives.
Design, Verification & Validation
Define and validate electrical performance budgets (power, data, fault management).
Lead all V&V phases including electrical ground testing (qualification, TVAC, EMC/EMI), and environmental qualification.
Drive fault detection, isolation, and recovery (FDIR) strategy and contribute to flight software validation.
Oversee system-level integration testing and ensure design compliance.
Lead readiness for launch, early orbit, and end-of-rendezvous operations.
Operations & Launch Support
Interface with launch providers to ensure compliance with integration and environmental requirements.
Provide technical leadership during launch campaigns, LEOP, and in-orbit testing.
Support Satellite Operations Control Center (SOCC) activities including telemetry, command databases, and anomaly resolution.
Stakeholder Communication & Leadership
Engage with customers and satellite operators on complex technical matters.
Mentor junior engineers and promote systems thinking and disciplined engineering practice.
Lead and document design reviews ensuring compliance with ECSS, PUS-STD, and internal standards.
Tools & Soft Skills
Experience with flight engineering software, Agile methods, and modeling/simulation tools (e.g., MATLAB).
Strong written and verbal communication with both technical and non-technical stakeholders.
Proven analytical and problem-solving abilities in dynamic, ambiguous environments.
Location: Valencia; Poland; Yerevan; Serbia; Kyiv; Madrid; Odesa
Workplace: remote
About the role:
Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts.
You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
Domain Focus
Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling.
You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
Forward-Deployed Delivery (FDE / FDX)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other:
FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment.
Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
Requirements:
Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context.
Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery.
Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping.
5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements.
Fluent English.
A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must.
GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders.
Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks.
Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs.
Design thinking, data-driven decisions, strong communication and executive storytelling.
Bias to action; thrives in ambiguity with structured problem-solving.
Enough engineering empathy to earn credibility with senior engineers and architects on day one.
Nice to Have:
Second priority vertical beyond your primary FSI/HCLS focus.
Prior experience in a Premier AWS or Anthropic partner environment.
Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early.
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
Software development background.
What You'll Do:
Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery.
Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs.
Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments.
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result.
Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream.
Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows.
Break complex work into incremental releases; balance delivery against technical debt and architecture.
Sprint-Enable-Realize engagement model.
Lead Agile execution - backlog, sprint planning, release process.
Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program.
Define success metrics and analytics; drive continuous improvement and root-cause analysis.
Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Why Join Us:
Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact.
Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment.
Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers.
Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks.
Remote-friendly culture.
Private medical insurance or sports coverage
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work.
Location: GE; PL
Workplace: remote
Overview:
SOFTSWISS is looking for a Head of Security Business Partnering to drive the execution of the cybersecurity strategy across a diverse technology ecosystem.
Purpose of the role:
You will coordinate Security Business Partners assigned to individual business units and ensure that security priorities are translated into clear roadmaps, measurable targets and completed actions.
You will own the Security Business Partnering operating model, planning cycle and performance framework.
You will establish governance, drive continuous improvement of interaction processes, and track security posture, risks and delivery across the ecosystem.
You will resolve dependencies and escalate issues that require executive decisions. Central security teams will remain responsible for their domains.
Your role is to align priorities, clarify ownership and ensure that agreed actions are delivered.
Key responsibilities:
Coordinate and develop Security Business Partners across the business units.
Set common responsibilities, working practices and performance expectations.
Review the performance against agreed KPIs, objectives and delivery commitments.
Turn the cybersecurity strategy into business-unit roadmaps, targets and delivery plans.
Manage the security portfolio across the ecosystem, including strategic programmes, remediation plans, KPIs, OKRs and SLAs.
Track delivery, address delays and require recovery plans when work falls behind.
Escalate material risks, missed commitments and unclear ownership.
Coordinate initiatives involving several business units or central security teams.
Match business demand with the priorities and capacity of central security functions.
Explain technical risks in terms of revenue, operations, customers, regulation and market expansion.
Identify recurring problems that should be solved through shared capabilities, common standards or secure-by-default solutions.
Support the security integration of acquired and newly established business units.
Required Experience:
Management experience in cybersecurity within a complex technology organisation.
Experience coordinating or functionally leading senior security professionals.
Experience working across several business units or products in a matrix structure.
Strong skills in security planning, governance and delivery management.
A record of turning security strategy into measurable business-unit results.
Experience managing security KPIs, OKRs, SLAs, roadmaps and remediation programmers.
The ability to influence executives, align stakeholders and hold owners accountable.
Strong performance-management and stakeholder-management skills.
The ability to create structure and transparency where ownership is distributed.
Nice to have:
Experience in iGaming, FinTech, or another highly regulated digital industry is an advantage.
Experience with federated security models, M&A integration or executive governance is also valuable.
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
About the team
The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. They build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of internal operations.
What you’ll do
As an Engineering Lead / Manager in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. You will mentor and guide others as the team grows. This role is based in Singapore.
Responsibilities:
1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience.
2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities.
3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions.
4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards.
5. Continuously improve system reliability, performance, and scalability.
6. Serve as a technical role model for junior team members and support their technical growth when needed.
Who you are
Minimum qualifications:
1. Bachelor’s degree in Computer Science or related fields.
2. At least 5+ years of software engineering experience.
3. Strong ability to quickly understand complex business processes and propose effective technical solutions.
4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders.
5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/TypeScript.
6. Hands-on experience in building scalable, robust automation or workflow systems.
7. Self-driven and proactive in identifying problems and driving improvements.
Preferred qualifications:
1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead.
2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios.
3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines).
4. Experience mentoring or guiding junior engineers in a technical capacity.
5. Previous experience working in fintech, payments, or a fast-paced startup environment.
6. Familiarity with compliance, risk control, or onboarding related business domains is a plus.
Location: Valencia, Spain
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Senior Radio Frequency Engineer
- Department: Space Systems
- Location: Valencia, Spain
- Reports to: Engineering Manager, Space Systems
- Working type: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
THE MISSION OF THE SENIOR RADIO FREQUENCY ENGINEER
As Senior RF Engineer, you will be at the heart of designing and advancing the next generation of ICEYE's satellites — pushing the boundaries of what small sensing satellites can achieve. Working closely with cross-functional engineering teams, you will own the design, testing, and continuous improvement of satellite RF and microwave hardware, from PCB design and component selection to link budget analysis and advanced measurements. When things go wrong, you will be the one to diagnose why — conducting root-cause analysis and providing hands-on technical support for an ever-expanding fleet of operational satellites in orbit.
WHO ARE WE?
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
DAY TO DAY RESPONSIBILITIES:
- You will work closely with engineers from other domains to design a new generation of satellites and ensure continuous improvements of them.
- Your responsibilities will include designing and testing satellite RF hardware, tackling the challenges inherent in the new space engineering approach, and pushing the boundaries of what small sensing satellites can achieve.
- You will also be involved in the design of both passive and active microwave systems, and provide technical support for our expanding fleet of satellites. If you're ready to take on these exciting challenges, we’d love to have you on board.
REQUIREMENTS:
MUST HAVE SKILLS
- Master's degree in Radio/RF/Communications/Signal/Electrical engineering.
- 5 years+ of experience in RF and microwave engineering (including PCB board design, link budget, component selection).
- Familiar how to use common measurement equipment and skilled to do advanced measurements.
- Proficient problem-solving and debugging skills. Capability to tackle unconventional tasks and problems.
- Ability to perform root-cause analysis on failures.
- Ability to communicate clearly in English (written and spoken).
- Ability to work independently, but also a co-operative team player.
- Suits well in a multicultural environment.
- Capability to drive a new project from the technical side, facing unknown issues and collaborating with people from different domains to solve it.
- Strong troubleshooting and analytical skills.
- Willingness to be involved in the whole life cycle of the satellite
NICE TO HAVE SKILLS
- Prior experience in aerospace systems.
- Prior experience with high frequency (5+ GHz) systems.
- Capability to manage basic projects.
- Prior experience in Altium, CST, Python.
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager Interview
- Technical Interview (onsite or virtual), including a Technical Challenge
- Hiring Team Interview
- Offer Decision
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com
Location: Khafji, Saudi Arabia
Eram Talent is seeking a skilled and experienced
Functional Analyst – SAP IS-Oil (PM)
to support the design, implementation, and ongoing optimization of SAP solutions within the Oil & Gas domain. The ideal candidate will act as a key liaison between business stakeholders and technical teams, ensuring that business requirements are effectively translated into SAP functionalities and solutions.
Requirements
Conduct
requirement gathering sessions
with business users to understand operational needs and translate them into functional specifications.
Analyze business processes and map them to
SAP IS-Oil and SAP PM functionalities
.
Lead and support the
implementation of SAP IS-Oil solutions
, ensuring proper integration with other SAP and non-SAP systems.
Provide
post go-live support
, including troubleshooting, issue resolution, and system enhancements.
Handle
day-to-day user queries and system-related issues
, ensuring minimal disruption to business operations.
Prepare detailed
functional specifications (FS documents)
and collaborate with technical teams to develop and deliver customized solutions.
Conduct
end-user training sessions
for different business roles to ensure effective system utilization.
Mentor and train
junior consultants
, enhancing team capability in SAP IS-Oil.
Work closely with cross-functional teams to ensure seamless
integration across modules such as MM, SD, and FI/CO
.
Required Skills & Qualifications
Strong hands-on experience in
SAP IS-Oil and SAP PM (Plant Maintenance)
.
Proven experience in
full lifecycle SAP implementations
(at least 1–2 end-to-end projects preferred).
Experience in
Oil & Gas industry projects
is highly desirable.
Expertise in
business requirement analysis and functional documentation
.
Good understanding of
integration with other SAP modules
(MM, SD, FI/CO).
Experience in
post go-live support and enhancement projects
.
Strong problem-solving and analytical skills.
Excellent
communication and stakeholder management
abilities.
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
We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions.
Key responsibilities
Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention
Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems
Create clarity and direction for the team in a fast-moving, ambiguous environment
Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities
Take an inclusive, equitable approach to hiring and coaching technical talent
Drive the development of scalable systems for experimentation, personalization, and optimization
Minimum qualifications
Strong technical background in full-stack development with proven success building and shipping growth initiatives
Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization
Experience recruiting, scaling, and retaining engineering talent in a high-growth environment
Excellent leadership and communication skills, with ability to work effectively across functions
Demonstrated success in building a culture of belonging and engineering excellence
Preferred qualifications
5+ years of experience as an product minded engineering manager, with at least 2 years leading growth engineering teams
Experience applying machine learning and AI technologies to growth challenges
Demonstrated success implementing product-led growth strategies and viral loops at scale
Expertise in modern web development stacks and experimentation frameworks
Experience with user segmentation and cohort analysis tools
Startup experience, particularly in scaling products from zero to one
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
- Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
LLM integrations, AI agents, and retrieval-augmented workflows
- Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirements
- Develop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standard
- Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation tracking
- Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation items
- Support audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systems
- Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligations
- Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metrics
- Monitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendations
- Support security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
QUALIFICATIONS:
- 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
policy development, audit coordination, and third-party risk management
- Demonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
- Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standards
- Hands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providers
- Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
- Strong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirements
- Experience supporting regulatory readiness or compliance efforts related to AI systems
- Proven ability to collaborate with engineering and security teams to validate control
implementation and remediation
- Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Montreal
Workplace: remote
ABOUT YOU
We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness.
Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role.
This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide.
If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations
Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling
Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation
Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation
Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain
Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks
Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts
Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads
Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change
Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems
Participate in the SRE duty rotation, supporting developers across the company
Qualifications & Skills
3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services
Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP)
Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes)
Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry
Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams
GCP experience (IAM, networking, managed services)
Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions)
Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash)
Practical experience with incident response, post-mortems, and driving reliability improvements from incidents
Strong collaboration and communication skills — this role works embedded with product development teams daily
Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems
Nice to Have:
Kubernetes certifications
Google Cloud Platform certifications
HashiCorp certifications
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Handling infrastructure that processes sensitive financial transactions
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Salary varies depending on experience level and location.
Location: Serbia
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.
Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast and we're looking for an Analytics Team Lead to make the quality of our identity technology visible, measurable, and relentlessly data-driven.
The Impact You'll Make
This role sits on the
Document Intelligence
team — the group behind Incode's industry-leading document processing. Our technology parses identity documents from around the world — passports, visas, driver's licenses, proof of address, and more — for some of the biggest enterprises on the market. Machine learning is the core of the product, and Analytics is what makes its quality visible and its roadmap data-driven.
We're looking for a Senior Lead of Data Analytics who is, first and foremost, a sharp hands-on analyst — and who has the leadership experience to grow a small, high-impact team around them. Today the team is three people; you'll be the fourth, owning it end-to-end. This is a true player-coach role: you'll manage and mentor the team while personally writing the pipelines, queries, and analyses. Our analytics is partially built — some data pipelines and testing procedures are already in place, but metric coverage and visibility are far from complete. Your mission is to close that gap.
What You'll Own & Drive
Lead & Grow the Team
— Run the analytics team as a formal manager: own the roadmap, hold 1:1s and performance reviews, develop your analysts, and participate in hiring as the team scales.
Stay Hands-On
— This role involves a lot of personal execution. You'll write SQL and Python pipelines for data collection, processing, and labeling — and do the analysis yourself.
Expand the Metric Tree
— Build out the end-to-end metric tree that measures product quality across the document-processing pipeline, closing coverage gaps where the product is currently blind.
Build Visibility
— Create reporting and dashboards that surface weak points and turn raw signals into clear insights for ML, product, and leadership.
Own ML Quality Evaluation
— Drive data preparation for ML, model quality assessment, and benchmarking, in tight collaboration with the ML team.
Drive Experimentation
— Design, run, and interpret A/B tests across mobile and server side, with genuine statistical rigor.
Guard Data & Labeling Quality
— Monitor accuracy and consistency, and build the controls that keep them high.
Bridge to Engineering
— When events or data are missing, pinpoint exactly what's needed and where it should come from, write clear and actionable tasks for the backend and data teams, and justify their prioritization in business terms.
Systematize
— Turn one-off analyses into repeatable, owned pipelines and reporting cadences.
Your Background
Team leadership experience
, paired with a genuine appetite to stay hands-on — you lead
and
you build.
Strong Python
, with a bias toward clean, maintainable, well-structured code.
Strong SQL
and solid experience with columnar / analytical databases.
Strong statistics and experimental design
— you can design tests (A/B and beyond), reason about significance and power, and interpret results correctly.
Modern data tooling
— experience with workflow orchestration, data transformation, cloud storage, and experiment-tracking. Our stack is Python, S3, Redshift, ClearML, Airflow, and dbt; equivalent tools are perfectly fine — what matters is that you've worked with this kind of stack.
Excellent communication
— you can translate a data gap into a prioritized, business-justified requirement, talk to engineers and stakeholders in their own language, and make the case for what gets built.
High ownership, autonomy, and pragmatism
— comfortable prioritizing impact over perfection in an evolving environment.
Bonus points for:
Experience with
ML-centered products
— evaluating model quality and working alongside ML teams. You won't be expected to train production models; at most simple models for data filtering, plus the ability to run existing ones.
Familiarity with
data labeling processes
and quality estimation/maintenance.
Domain exposure
to identity documents, OCR, or computer-vision pipelines.
The Qualities That Set You Apart
A player-coach at heart
— you draw energy from both growing people and doing the work yourself.
Craftsmanship in how you build
— clean code, sound pipelines, and analyses others can trust and reuse.
Intellectual honesty and statistical rigor
— you follow the data where it leads and know when a result is real.
A translator's instinct
— you turn ambiguous signals into clear insight and make the business case for what to build next.
Pragmatism and high ownership
— you thrive in an evolving environment and push for impact over perfection.
Why Incode?
Mission with Meaning
— Shape how billions of people prove identity — safely, simply, and ethically.
Rocket-Ship Growth
— Join at a defining moment where your work compounds in global impact.
Elite Team & Technology
— Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI.
Ownership & Autonomy
— Operate with the freedom to test, build, and ship your ideas end-to-end.
Global Impact
— Your work will shape secure, frictionless identity verification experiences across continents.
Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Promotions & Development
Learn more about
Life at Incode
!
Benefits & Perks:
Flexible Working Hours & Workplace
Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Asset & Earn Team 2 is responsible for building and scaling next-generation earn and lending solutions at one of the world's largest crypto exchanges. As a developer on this team, you will work on Simple Earn, Flash Earn (including Jumpstart), Loan products, and Stablecoin Yield features — powering millions of users' passive income journeys in the crypto ecosystem.
What You'll Be Doing:
Design and develop high-performance, high-availability backend services for Simple Earn, Flash Earn, and Loan products
Build and maintain the Jumpstart subscription and allocation system for new token launches
Design and implement backend systems for stablecoin yield distribution and settlement
Work closely with Product, Design, Risk, and Quant teams to deliver innovative earn and lending features
Participate in on-call production support and incident response to ensure platform stability
What We Look For In You:
Proficient in AI-assisted development tools such as Codex and Claude Code — mandatory requirement to boost engineering productivity and iteration speed
Minimum 3 years of backend development experience in financial or related industries
Experience in Microservice/API development with Java / SpringBoot / SpringCloud
Strong understanding of multi-threading, concurrency control, and distributed system design, with experience in high-concurrency, high-availability, and high-performance systems
Familiarity with mainstream messaging frameworks such as Kafka and caching solutions like Redis
Experience with Kubernetes (K8s) for container orchestration and deployment
Solid experience with relational databases (MySQL or equivalent)
Comfortable in a cloud-based Linux environment with production support capability
Basic understanding of finance concepts, particularly earn/deposit, lending/loan, and yield products
Fluency in English and Mandarin
Business Domain Experience (At least one of the following three is required):
Earn & Loan: Hands-on experience building earn or loan products, with understanding of interest accrual, risk control, and liquidity management
Stablecoin Yield: Familiarity with stablecoin mechanics (USDT, USDC) and experience developing yield distribution or settlement systems
Subscription & Allocation Systems: Experience building token launch, quota allocation, or subscription systems (e.g. Jumpstart-style products)
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
• Manufacturing Technician, Unmanned Aircraft (Fabrication and Integration)
• Location: Valencia, Spain
• Department: HAPS
• Reports to: Head of Manufacturing
• Employment type: Permanent
• Workplace model: Onsite
• Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As Manufacturing Technician on the HAPS team, you will be hands-on at the heart of building something genuinely unprecedented — a stratospheric, unmanned electric aircraft that will set a new mark in aviation history. Your work spans the full breadth of assembly and integration: fabricating lightweight carbon fibre composite structures, building cable harnesses and high-density battery packs, integrating avionic subsystems, and running end-to-end ground tests to verify that every system is ready to fly. Beyond the build itself, you will play an active role in developing and refining the assembly and testing processes that will carry this programme from early prototypes into a mature, repeatable production flow — working closely with engineers to transition new designs from drawing board to reality.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Assembly of large, but very lightweight unmanned aircraft
- Fabrication of lightweight aircraft structures/components and building CFRP composite parts
- Development of new assembly, integration and testing processes, and tools for an ultra-light UAV
- Manufacturing of electronics assemblies and sub-level components (such as cable harness manufacturing and battery manufacturing of state-of-the-art high power density batteries)
- Transitioning new designs from engineering to manufacturing
WHAT WE’RE LOOKING FOR
Must haves:
- 2+ years of relevant experience as an electrical/electromechanical/electronic technician with a hands-on approach
- Experience with mechanical prototyping (3D printing, using basic mechanical workshop equipment)
- Basic knowledge of CAD tools
- Good command of the English language, both oral and written
Nice to haves:
- Hands-on experience in aircraft, robot, race car or similar system prototyping & manufacturing
- Good systems and physics understanding
- Experience with composites
- Experience working with electronic equipment (prototype boards, harness, test setups)
- Development of process improvements and setups to improve cycle times, repeatability, and maturity
- Proactive, can-do attitude
- Curiosity and passion about technology
APPLICATION PROCESS
• TA Partner Screen Call
• Hiring Manager Interview
• Technical Interview
• Values & Fit Interview
• SVP of Engineering Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: United Kingdom
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a high-energy Sales Development Representative with a deep understanding of the UK Insurance landscape to join a market-leading sales acceleration firm. This is not a typical "cold calling" shop; you will be joining a well-established company with 15 years of proven methodology to sell cutting-edge SaaS solutions directly into the insurance industry. If you are a domain expert who knows how to navigate the complexities of insurance brokerage and underwriting, this is your opportunity to leverage that knowledge in a high-growth tech environment.
Key Responsibilities
Execute a high-volume outbound strategy, averaging 50 targeted touches per day to key decision-makers within the insurance sector.
Qualify and book at least 10 high-quality discovery meetings per month to ensure a healthy sales pipeline.
Leverage Salesforce and our internal sales frameworks to track activity and manage prospect relationships effectively.
Act as a subject matter expert when speaking with insurance professionals, speaking their language to build instant credibility.
Collaborate with internal teams to refine messaging and optimize the outbound sales process.
Requirements
Proven experience in SDR or inside sales roles within the UK market.
Deep knowledge of the Insurance industry (either via previous insurance sales or selling software into the insurance sector).
Demonstrable track record of meeting or exceeding outbound activity and meeting-set targets.
Technical proficiency with Salesforce or similar CRM platforms.
Excellent communication skills with the ability to navigate complex corporate structures.
Nice-to-Haves
Experience selling B2B SaaS solutions.
Familiarity with formal sales methodologies (e.g., MEDDPICC, Challenger, or similar).
A pre-existing network of contacts within the UK insurance space.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.
About the role
We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery.
As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic.
This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you.
Key responsibilities
Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc.
Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment
Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up
Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents
Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases
Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty
Minimum qualifications
Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience
Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction)
Have demonstrated breadth across multiple areas of computational biology
Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments
Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on
Communicate computational results clearly to both biologists and ML researchers
Preferred qualifications
Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Are results-oriented, with a bias towards flexibility and impact
Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists
Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data
Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth
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:
$300,000
—
$320,000 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: New York
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are building a new systematic, mid-frequency trading business at DRW. The strategy combines diverse data, modern machine learning, and high-performance software systems to identify and trade opportunities at scale.
This is an early-stage effort within an established trading firm: the team has the opportunity to design its technology and research platform from the ground up while benefiting from DRW's capital, data, compute infrastructure, market access, and institutional experience.
We are a small, fast-moving team of quantitative researchers and developers. Engineers are not a support function—they are central to how we conduct research, put strategies into production, and build a lasting competitive advantage.
About the Role:
As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely with experienced researchers and trading-system engineers across the team and the firm, combining substantial autonomy with strong technical mentorship.
You will work at the intersection of quantitative research and software engineering, turning research ideas into reliable systems that trade. The ideal candidate combines strong software engineering fundamentals with an interest in quantitative research, machine learning, and data-intensive systems.
This role will require you being in the NY office 5 days per week.
You will:
Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs
Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems
Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring
Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use
Improve the performance and scalability of computationally intensive research and production workloads
Contribute to foundational architecture and engineering decisions, working with experienced trading-system engineers to establish the development practices, testing standards, and operational processes the team will use as it grows
Take systems and strategies from prototype to production and remain accountable for their reliability once they are live
Because the team is still early, the scope is broad and the feedback loop is short. You will have the opportunity to take on meaningful responsibility early, while learning from people with deep experience in quantitative research, trading-system architecture, and production trading.
What You Bring:
A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field
At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed
Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis
The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance
Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance
A track record of scoping and delivering production systems in fast-moving or ambiguous environments
High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on
Clear communication and a collaborative working style, particularly when working across research and engineering disciplines
Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed.
Nice to Have:
Experience developing deep learning systems with PyTorch
Experience with GPU computing, kernel development, distributed training, or performance optimization
Hands-on experience building and operating machine learning or data pipelines in production
Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems
A strong foundation in mathematics, statistics, optimization, or machine learning
Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users
Why This Role:
Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success
Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm
Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets
AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow
The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.
The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.
REPRESENTATIVE PROJECTS
- Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.
- Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.
- Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.
- Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.
WHAT YOU'LL DO
- Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
- Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
- Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.
- Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.
WHAT YOU HAVE
- 6+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams.
- Experience building and shipping multi-model or multi-provider AI systems in production.
- Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.
- A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.
- Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.
- Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.
- A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.
- Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.
COMPENSATION
$193,400 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-AK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
УдалённоRemote US
seniorMontreal, Canada
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисleadENGINEERING LEED / MANAGER KYC | RELOCATION TO SINGAPORE | AIRWALLEX #relocation #singapore #fulltime #itjob #manager https://teletype.in/@courierus/SIkhkJxT9v_; RELOCATION TO SINGAPORE | AIRWALLEX Airwallex is the only unified payments and financial platform for global businesses
ГибридseniorValencia, Spain
San Francisco, CA | New York City, NY | Seattle, WA
ОфисBoston, MA
УдалённоMontreal
leadSerbia
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
Автоотклики