Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
RESPONSIBILITIES
Technical Leadership and Architecture
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
Systems Design and Implementation
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
Strategic Impact and Innovation
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
Leadership and Mentorship
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview:
The
Manager, Operations Service & Partner Development
will be responsible for supporting the development, tendering, procurement, and contractual performance management of Sony Interactive Entertainment’s global transportation, warehousing, and logistics operations service partners.
Working across AMER, EMEA, ANZ, APAC, and Japan, this role will help ensure SIE has the right service partner network, commercial agreements, service levels, and governance in place to support the needs of the PlayStation business globally.
This role will also manage the cross-Operations budgeting process for OPEX and CAPEX, providing budgetary inputs at a CPU level and tracking performance through key budget cycles.
What you’ll be doing:
Lead and support global tendering activity across transportation, warehousing, and logistics operations service partners, ensuring business requirements are clearly defined, and procurement processes are commercially and operationally robust.
Manage tender activity across key service areas including sea freight NVO and BCO tendering, road freight FTL and LTL tendering, air freight tendering, warehouse 3PL RFPs, and 4PL Logistics Control Tower service partner tendering for both B2B and B2C operational Partnerships.
Partner with Procurement, Finance, Legal, Logistics, Warehousing, Planning, and regional Operations teams to ensure tender processes deliver the right balance of cost, service, capability, risk, and scalability.
Support contractual SLA management for global service partners, acting as an escalation point when issues move beyond day-to-day operational management.
Own and coordinate the QBR process with key service partners, ensuring reviews are consistent, data-driven, globally aligned, and focused on performance, service improvement, risk, and future business needs.
Manage the cross-Operations budgeting process for OPEX and CAPEX, working closely with Finance and Planning teams to provide accurate budgetary numbers, CPU assumptions, and monthly tracking.
Act as a key point of contact for Finance and Planning teams, supporting budget submissions, forecast cycles, variance analysis, and operational cost visibility.
Key areas of focus:
Service Partner Tendering & Procurement
Support and manage global tenders for transportation, warehousing, and logistics operations partners.
Lead tender activity across sea freight, road freight, air freight, warehouse 3PL, and 4PL control tower services.
Ensure operational requirements are captured clearly and translated into tender documentation and evaluation criteria.
Partner with Procurement and Legal to support supplier selection, commercial negotiations, contract development, and implementation.
Ensure tender outcomes support PlayStation’s global service, cost, capacity, and growth requirements.
Service Partner Management
Manage contractual SLA oversight for key operations service partners.
Act as an escalation point for service partner issues that require contractual, commercial, or senior operational review.
Own the QBR process, ensuring consistent preparation, performance reporting, action tracking, and follow-up.
Drive partner alignment to global standards, service expectations, and operational priorities.
Identify opportunities to improve partner performance, cost efficiency, service quality, and operational resilience.
Liaise closely with Operations teams to ensure their requirements are met and their voices are heard through a highly collaborative, consistent, and regular approach.
Operations Budgeting & Cost Management
Manage the cross-Operations OPEX and CAPEX budgeting process.
Provide budgetary inputs and assumptions at a CPU level.
Track monthly performance against budget.
Partner with Finance and Planning teams to support forecast accuracy, variance analysis, and cost visibility.
Help identify cost risks, opportunities, and efficiency improvements across Operations spend.
Global Governance & Reporting
Establish consistent governance for tender activity, partner reviews, SLA performance, and budget tracking.
Develop reporting packs, performance scorecards, and action logs to support decision-making.
Ensure regional requirements are represented while maintaining alignment to global standards.
Support the development of a global service partner strategy across transportation, warehousing, and logistics control tower operations.
What we’re looking for:
8+ years’ experience in logistics, supply chain, procurement, transportation, warehousing, service partner management, or operations finance.
Experience supporting or managing logistics tenders, RFPs, supplier selection, or contract governance.
Strong understanding of transportation modes including sea freight, road freight, and air freight.
Experience working with 3PL warehouse providers, 4PL/control tower providers, carriers, freight forwarders, or logistics service partners.
Strong financial and analytical skills, with experience in budgeting, forecasting, cost tracking, CPU modelling, OPEX, and CAPEX management.
Excellent stakeholder management skills across Operations, Procurement, Finance, Planning, Legal, and regional teams.
Strong communication and presentation skills, with experience preparing QBRs, scorecards, and performance reviews.
Ability to manage multiple global priorities and turn business requirements into practical partner and budget plans.
Desirable
:
BA/BS in Supply Chain, Logistics, Business, Finance, Procurement, or another related field preferred.
Experience in Lean toolset is a plus, with a Greenbelt or higher certification desirable.
Benefits
:
Discretionary bonus opportunity
Hybrid Working
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Senior Mechanical Engineer (Manufacturing Test) to develop the mechanical test fixtures and systems that enable reliable, scalable testing of WHOOP products throughout product development and mass production. You will drive fixture development from early concepts through production deployment, co-developing solutions with our contract manufacturing partners and translating test requirements into robust mechanical designs. Working across Hardware Test, Manufacturing, Electrical, Firmware, and Quality Engineering, you'll provide the technical direction and engineering judgment needed to deliver production-ready fixture solutions.
RESPONSIBILITIES
- Drive mechanical fixture development for complex manufacturing test applications from early concept through validation, production deployment, and sustaining, partnering closely with contract manufacturers on design and execution
- Translate test and product requirements into robust fixture designs, making appropriate tradeoffs between performance, repeatability, complexity, cost, cycle time, and maintainability
- Design fixtures directly where appropriate and provide technical direction and design review for solutions co-developed with manufacturing partners
- Apply strong mechanical engineering principles including tolerance analysis, GD&T, material selection, datum strategy, alignment, DFM, and manufacturing process selection to review and validate fixture designs
- Collaborate with contract manufacturers throughout design, sourcing, fabrication, qualification, and production readiness, including on-site support during NPI and product builds
- Lead fixture debugging and root-cause investigations, using structured problem solving and data to resolve issues related to tolerance, alignment, wear, loading, repeatability, and fixture performance
- Ensure production-ready CAD, drawings, BOMs, assembly instructions, and fixture specifications are accurately maintained through established PLM and change-control processes
- Collaborate across engineering teams to define fixture requirements and drive improvements to fixture design, qualification, maintenance, and development practices
QUALIFICATIONS
- Bachelor's degree in Mechanical Engineering, Mechatronics, or a related technical discipline
- 5+ years of experience designing complex mechanical systems, fixtures, automation equipment, or similar hardware for manufacturing or production environments
- Strong mechanical design fundamentals including tolerance analysis, GD&T, material selection, manufacturing processes, fastening methods, and DFM
- Advanced proficiency with 3D CAD and engineering drawings; SolidWorks experience is strongly preferred
- Experience developing mechanical fixtures or equipment from requirements through prototype, validation, release, and production support
- Experience co-developing mechanical systems with contract manufacturers, suppliers, or external engineering partners, including technical direction and design review
- Experience creating and maintaining production engineering documentation, revision control, and PLM systems such as Arena
- Strong mechanical debugging and root-cause analysis skills, with experience using data to characterize and improve fixture performance
- Working knowledge of electrical systems, wiring, instrumentation, and PCBAs sufficient to integrate and debug electromechanical test fixtures
- Experience using manufacturing data and statistical methods to evaluate repeatability, variation, and fixture capability; familiarity with SPC is preferred
- Strong project ownership, communication, and cross-functional collaboration skills, with the ability to independently drive complex fixture-development projects
- Familiarity with Python or other scripting languages for engineering analysis, automation, or debugging is a plus
- Ability to travel up to 15%, both domestically and internationally
- Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
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 $150,000 - $195,000. 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: California
Workplace: onsite
Role Overview
We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.
Project Details
Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2
Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM
Start Date: ASAP
Contract Duration: 12-month contract with possibility of extension
Rate: $40 per /hour
What You’ll Do
Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use.
Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors.
Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras.
Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data.
Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses.
Soldering, crimping, connectorization, harness building, and PCB rework support at the bench.
Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors.
Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up.
Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow.
Help bring up new embodiments and new stations alongside engineers and researchers.
What we need to see
3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar.
AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience.
Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar).
Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope.
Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said.
Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream.
Methodical and self-documenting. An undocumented fix is a future outage.
Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time.
Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours.
Ways to stand out from the crowd
Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent.
Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras.
Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters.
Light scripting in Python or bash to automate a repetitive bench or calibration task.
Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked.
Vendor-facing experience: RMAs, lead times, and spares planning.
Job reference: #L1-CC1
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
THE OPPORTUNITY
- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
WHAT YOU BRING
- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
NICE TO HAVES
- Experience building infrastructure for agent-based or LLM-powered systems
- Background in high-performance networking, async systems, or low-latency architectures
- Experience with container orchestration and cloud-native infrastructure
- Familiarity with evaluation frameworks and model performance monitoring at scale
- Experience working in fast-moving 0→1 or platform-building teams
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
About the Team Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As a member of the Personalization team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time services in close collaboration with great engineers both within the team and across other teams such as the Ranking team.
The general goal of the Personalization team is providing best-in-class personalization for all e-commerce experiences provided by Constructor.
The job can consist of, but is not limited to:
Improve personalized experience across different products, domain verticals and platforms
Improve business KPIs by validating hypotheses around personalization
Research different personalization approaches to provide the best outcome to the business
Model user interactions to provide the best experience to shoppers
Collaborate with technical and non-technical business partners to develop and update personalization capabilities
Communicate with stakeholders within and outside the team
Requirements
Hard skills
3+ years of professional experience in applied machine learning
Proficiency with Python, SQL and the big data stack for end-to-end ML product development
Experience building, shipping, and maintaining personalization / recommender / ranking systems in production
Experience with any of the major public cloud platforms will be a plus
Experience with design and analysis of A/B tests
Great skills delivering & communicating business value to stakeholders
Soft skills
Excellent English communication skills
Experience collaborating in cross-functional teams
Ability to deep dive into problems and provide actionable outcomes
Ability to work autonomously and independently
Proactivity
Benefits
Work with smart and empathetic people who will help you grow and make a meaningful impact.
Regular team offsite events to connect and collaborate.
Fully remote team - choose where you live.
Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
Work from home stipend!
We want you to have the resources you need to set up your home office.
Apple laptops provided for new employees.
Training and development budget for every employee, refreshed each year.
Maternity & Paternity leave for qualified employees.
Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary.
Diversity, Equity, and Inclusion at Constructor
Constructor.io is committed to cultivating a work environment that is diverse, equitable, and inclusive.
As an equal opportunity employer, they welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
They encourage you to apply even if you don’t meet all of their listed qualifications.
How they handle your data
By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role.
If you are not selected, they will retain your data for a limited period as described in their Recruitment Privacy Notice.
After that period your data will be deleted or anonymized.
Location: Montreal, Canada
📍
Location:
Montreal, Quebec, Canada
📄
Employment Type:
Full-Time
🏢
Work Arrangement:
Remote
🚀
Start Date:
TBD
💰
Compensation:
TBD -- based on skills and experience
Important Screening Requirements
Must be legally eligible to work in
Canada
.
Must be capable of obtaining the required
security clearance
.
Must be willing to work at least
50% on-site in Montreal
.
Candidates willing to
permanently relocate to Montreal
are strongly preferred.
Strong written and verbal communication skills in
English
are required.
French language proficiency is considered an asset.
About the Role
We are seeking a
Senior Orbit Dynamics & Mission Analysis Engineer
to lead advanced astrodynamics, orbit dynamics, trajectory optimization, and space mission design and analysis activities.
This senior-level role will focus on solving complex orbital mechanics and mission analysis problems through advanced modeling, simulation, optimization, and technical analysis. The ideal candidate will work independently on challenging astrodynamics problems while leading technical analyses and trade studies supporting sophisticated space missions.
Key Responsibilities
Orbit Dynamics & Mission Analysis
Perform advanced orbit dynamics and astrodynamics analysis for space missions.
Conduct spacecraft trajectory design and optimization.
Apply advanced orbital mechanics and perturbation theory to mission analysis.
Perform orbit determination and estimation analysis.
Evaluate and optimize mission trajectories using analytical and computational methods.
Conduct mission design and architecture analyses across a range of mission scenarios.
STK Modeling & Simulation
Utilize
Systems Tool Kit (STK)
extensively for mission analysis and simulation.
Apply advanced STK modules, including:
Astrogator
Optimizer
Coverage
Communications
Develop STK automation and scripting solutions using APIs and
STK Connect
.
Build and maintain mission analysis models and simulations to support technical decision-making.
Engineering Tools & Software
Develop advanced engineering analysis tools, models, and simulations using
Python and MATLAB
.
Apply computational methods to solve complex astrodynamics and mission analysis problems.
Support software development practices, including version control, testing, documentation, and CI/CD.
Technical Leadership & Trade Studies
Lead complex technical analyses and engineering investigations.
Conduct multidisciplinary trade studies evaluating mission architectures and technical alternatives.
Independently identify, analyze, and solve challenging astrodynamics problems.
Present technical findings, recommendations, and analysis results to engineering stakeholders.
Contribute technical expertise to mission design decisions and program development.
Required Qualifications
Master's degree in
Aerospace Engineering, Astronautical Engineering, Physics, Applied Mathematics
, or a closely related field.
A Bachelor's degree with significant additional relevant experience, typically
9+ years
, will also be considered.
Minimum
7 years of professional post-graduation experience
directly related to:
Orbit dynamics
Astrodynamics
Trajectory optimization
Space mission design and analysis
Expert-level proficiency with STK
, including Astrogator, Optimizer, Coverage, and Communications.
Demonstrated experience with
STK automation and scripting
, including API and STK Connect.
Advanced programming proficiency in
Python and MATLAB
, with experience developing engineering analysis tools, models, or simulations.
In-depth theoretical and practical knowledge of:
Advanced orbital mechanics
Perturbation theory
Orbit determination and estimation
Trajectory optimization
Gradient-based optimization methods
Evolutionary optimization methods
Proven ability to independently lead technical analyses and complex trade studies.
Excellent analytical, critical-thinking, and problem-solving skills.
Strong written and verbal communication skills in English.
Preferred Qualifications
Ph.D. in
Aerospace Engineering
or a closely related field with a focus on astrodynamics or orbital mechanics.
Experience with additional mission analysis and simulation environments such as:
GMAT
FreeFlyer
Orekit
SPICE
Experience with
C/C++
programming.
Experience with spacecraft
Guidance, Navigation, and Control (GNC)
analysis or design.
Experience with multi-body dynamics.
Experience supporting large satellite constellations.
Experience with satellite operations, particularly
flight dynamics activities
.
Experience with software development best practices, including
Git, software testing, technical documentation, and CI/CD
.
Publications or conference presentations in astrodynamics, orbital mechanics, or related fields.
What We're Looking For
We’re looking for a senior
astrodynamics and mission analysis expert
who can independently tackle complex orbital mechanics problems and provide technical leadership on advanced space missions.
The ideal candidate combines deep theoretical knowledge with hands-on experience using
STK, Python, and MATLAB
, along with a proven ability to turn sophisticated mission analysis problems into practical engineering solutions. Experience with
advanced trajectory optimization, orbit determination, GNC, constellation dynamics, or flight dynamics operations
will be highly valuable.
Location: Europe; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Key Overview:
As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams.
Key Responsibilities
- Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).
- Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.
- Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.
- Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.
- Turn successful research into robust, reproducible training recipes for production models.
Qualifications
- Strong research and software engineering skills, with hands-on experience training LLMs.
- Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.
- Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.
- Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.
- Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.
- Excellent communication skills.
- Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes.
Working Location
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Germany; London; Munich; Zurich; Berlin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
The role
We’re hiring Senior Solutions Engineers to build Synthesia’s presales function in DACH. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re excited by building while scaling, we’d love to hear from you.
As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product.
This is an incredible opportunity to join us as we become a multi-product company for the first time and continue to scale across DACH.
Sales cycle ownership
- Co-plan and execute discovery calls to understand customer requirements, their technical environment and current business challenges.
- Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else.
- Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers.
- Support stakeholder workshops that connect Synthesia to the buyer’s broader technology strategy on complex, multi-stakeholder deals.
- Partner with Account Executives to define account and deal strategy, advise on competitive positioning, assess opportunity stage, and forecast your book of business for leadership.
Demo excellence
- Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
- Identify, build relationships with, and actively empower executive champions within customer organizations so they can advocate for Synthesia internally.
- Develop and maintain reusable assets across demo environments, use cases, integration templates, objections and industry playbooks, brought to life directly in Synthesia’s platform.
- Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations.
- Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity) and scalability for global deployments.
Product and industry expertise
- Maintain deep expertise on Synthesia’s platform capabilities across all product lines, roadmap and positioning to highlight value-driving use cases.
- Develop deep vertical knowledge, establishing yourself as a subject matter expert and building trust with executive buyers.
- Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development.
Ecosystem collaboration
- Product: share customer and prospect product and competitive feedback with pre-sales leadership and Product, flagging pain points, missing capabilities and gaps that surface in your deals to help shape the roadmap.
- Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards.
- Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments.
- Enablement: review and enhance enablement content based on what works best in preparing team members for client engagements, and deliver and evaluate certification as needed to accelerate understanding in the commercial team.
What we’re looking for
- 5+ years of pre-sales, solutions engineering or customer-facing technical experience at SaaS companies.
- Strong consultative discovery, stakeholder management and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers).
- Technical depth in at least one area (creation flows, APIs, integrations such as LMS, HCM, CRM and identity, security, or compliance) and a willingness to learn quickly across domains.
- Fluency with sales methodologies such as MEDDPICC and Command of the Message, and comfort translating technical requirements into business value and ROI conversations.
- A problem-solving approach built on gathering requirements, asking clarifying questions and adapting solutions to customer needs.
- Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences.
- Self-motivated and organized, with the ability to manage multiple POCs, demos and customer conversations simultaneously while meeting deadlines.
- A collaborative mindset; you thrive working with AEs, Product, Customer Success and other teams to drive customer and company success.
- Product orientation and genuine curiosity about how customers use technology.
- Willingness to travel to visit key customers for discovery, executive conversations and on-site demos.
We’d be particularly excited if
- You can also speak Spanish and/or Italian.
- You’re based in Munich, Berlin, Zurich or London, so you can spend time in our offices. This is a hybrid role, with 2+ days a week in the office.
Compensation
We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
KEY RESPONSIBILITIES:
Communication & Stakeholder Management:
- Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights.
- Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines.
- Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools.
- Present analytical findings and AI/ML capabilities confidently to both the Manager and broader global stakeholders.
Data Modeling & Technical Execution:
- Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations.
- Extract, transform, and load (ETL/ELT) complex datasets using modern tech stacks including dbt, Google BigQuery, and Snowflake.
- Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis.
Reporting, BI & Visualization:
- Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools).
- Ensure all reports are highly accurate, timely, and aligned with broader business OKRs.
- Uncover and visualize key trends across all treasury domains to support senior stakeholders.
AI & Advanced Analytics Initiatives:
- Explore and implement AI, machine learning, and predictive analytics to improve treasury insights.
- Drive continuous improvement by evaluating new tools and methodologies to keep the team’s tech stack at the cutting edge.
QUALIFICATIONS:
- Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field (Not Mandatory).
- Experience:
- 2–4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company.
- Proven track record of working collaboratively and communicating effectively in distributed or cross-regional teams.
- Technical Skills:
- Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake).
- Hands-on experience with data transformation tools (dbt).
- Strong expertise in building dashboards and visualizations in Looker.
- Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics.
KEY COMPETENCIES:
- Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences.
- Technical Agility: Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space.
- Collaboration & Teamwork: Thrives in a globally distributed environment, working seamlessly with diverse teams across borders and cultures.
- Analytical Problem-Solving: Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights.
- Execution-Oriented: Ability to take high-level objectives and technical tasks delegated by the Manager and deliver scalable solutions efficiently.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Espoo; Remote
Workplace: Hybrid
Role Highlights:
- Role: Sales Engineer
- Department: Product Management - Missions Line of Business
- Location: Espoo, Finland (preferred). Remote within the Europe possible.
- Reports to: Director of Sales Engineering, Missions
- Employment type: Permanent
- Working type: Hybrid (2-day remote policy)
- Employment is subject to applicable security screening (incl. SUPO)
The Mission of the Senior Sales Engineer
Enable ICEYE to win mission opportunities by defining, validating, and clearly communicating tailored technical solutions to prospective customers.
You will provide technical leadership in proposals and customer interactions, working at the intersection of Sales, Product, and Engineering. You will shape EO mission concepts, craft high-quality responses to institutional and government tenders, and support customer engagements from early discussions through final proposals and contracts, acting as a trusted technical advisor throughout the tender lifecycle.
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, and finance.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. More than 900 employees share the ambition of improving life on Earth by becoming the global source of truth in Earth Observation.
Expected Outcomes
- Delivered full technical solution for large proposals or institutional tenders (e.g. ESA, EDF EU), on-time and aligned ICEYE offering and buyer expectations.
- Deliver high-quality technical proposals for mission opportunities, including complete, accurate responses to RFIs, RFQs, and RFPs.
- Run and integrate mission analyses and simulations (coverage studies, payload performance scenarios, feasibility checks) to validate solutions.
- Provide timely technical support to Missions Sales throughout the sales cycle, ensuring clear, consistent, and compelling solution narratives.
- Strengthen customer engagement through well-structured technical presentations, clear communication, and professional handling of clarifications.
- Be recognized as a reliable contributor within the Missions Sales Engineering team, enabling ICEYE to win critical global mission opportunities.
CORE COMPETENCIES
Qualifications
- Bachelor’s or Master’s degree in Engineering, Aerospace, Physics, or a related field
- 5+ years of experience in sales engineering, bid management, or pre-sales, ideally in a Newspace-sector setting
- Proven ability to translate complex systems into customer-friendly value propositions, and navigate complexe procurement environments.
Technical & Industry Knowledge
- Strong understanding of space systems, EO missions, and space mission design
- Ability to interpret and respond to complex technical requirements and/or statements of work in structured tender formats, and to craft compelling narratives that align ICEYE technology with structured technical requirements.
- Familiarity with the ESA and EU tendering environment, terminology, and evaluation processes is a plus.
- Knowledge of SAR and/or multi-sensor ISR (optical, SIGINT) is a plus
Skills & Attributes
- Excellent written and verbal communication skills in English
- Strong customer focus and problem-solving mindset, with high attention to detail
- Proactive, accountable, and comfortable working with ambiguity across teams in a fast-paced, global environment
- Strong team player and collaborator
- Willingness and ability to travel regularly (20-30%, plus regular time in Espoo if based remotely).
- Eligible for national security screening
Key Competencies:
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
- Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
- Passion & Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
- Ownership & Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
- Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
- Integrity & Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
Application Process:
1. Recruiter interview
2. Hiring Manager interview
3. Take home task + presentation
4. Peer interview
5. VP interview
What We Offer at ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team — which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits:
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Time for self-development, research, training, conferences, or certification schemes
- Benefits vary by location. Your recruiter will provide a detailed overview for your specific country during the hiring process.
Our Commitment to Diversity, Equity, and Inclusion
At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together.
Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Slovenia (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Greece (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the C++ Functional Team, you'll build the high-performance code at the core of DuckDuckGo's browser using modern C++ and Chromium, and work on related projects.
You can expect to work on projects like:
- Implement tracker blocking that stops hidden trackers on every site without slowing page loads.
- Bring VPN and Personal Information Removal into the browser through the DuckDuckGo subscription.
- Catch startup and responsiveness regressions automatically, so the browser stays fast as it grows.
As a Senior C++/Chromium Engineer, you'll lead complex projects from proposal through post-mortem. You'll turn vague problems into clear plans, build them in a large modern C++ codebase, and use metrics to show they worked. Some days that means low-level systems work. Others, it means architecture decisions the whole team builds on. You'll collaborate with design and product, mostly asynchronously, to build features people use to protect their privacy.
ABOUT YOU
- Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem
- Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics
- 7+ years of software engineering experience
- Advanced modern C++ expertise (C++23 or newer), including memory management, concurrency, and performance profiling
- Experience driving technical work end-to-end on large-scale C++ codebases
- Comfort with large build systems, debuggers, and profilers
- Experience shipping software to a large consumer audience
- Solid computer science foundation (algorithms and data structures)
- Bonus: Windows development experience
- Bonus: experience with browsers (Chromium, WebKit, WebView), game engines, or large desktop applications
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
Location: Worldwide
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for an
Lead QA Engineer (AI Native)
to join a new product in our portfolio.
Your will join a small senior team of four, and we build in a truly AI-first way: almost all of our code is written by AI agents (Claude Code, Codex), while we design the processes, set the tasks and verify the results. The codebase already spans millions of lines, with complex components and integrations, and the product works with real money. Ensuring its reliability is a challenge no textbook covers yet. That's why we need someone to own it.
This is an individual contributor role in a flat team, with no people management. Your leverage comes from processes, automation and AI agents, not team size.
Your main tasks will be:
Design and build the end-to-end testing pipeline for a product largely written by AI agents: pre-merge checks, nightly test runs, release and production gates;
Define the quality strategy for AI-generated code: where risks are highest, what coverage is needed, and how to keep it sustainable at scale;
Set up continuous automated UI testing across browsers and mobile devices, including AI-agent-driven testing; evaluate, choose and integrate external tools and services;
Own product reliability from a technical perspective, with special focus on critical financial flows;
Work closely with engineers and DevOps to embed quality into the development process and find the right trade-offs between speed and safety;
Use AI agents daily to create, maintain and evolve tests and testing tooling;
Drive quality initiatives proactively and share best practices with the team.
We expect from you:
Proven experience building and owning testing processes in large, complex products with high reliability requirements, as a QA Architect, senior QA/SDET, or a senior engineer responsible for testing strategy;
Strong engineering background: understanding of system architecture, backend services, CI/CD and deployment processes;
Hands-on experience with test automation and integrating tests into CI/CD pipelines;
Daily use of AI coding agents (Claude Code, Codex, Cursor or similar) as a core part of your work, and genuine interest in AI-first development;
High autonomy and ownership: ability to take loosely defined problems, propose solutions and drive them to completion without detailed specs;
Willingness to work as a hands-on individual contributor in a small senior team.
Fluent Russian
Sounds good? Join us now!
Location: Espoo; Remote
Workplace: Hybrid
Role highlights:
- Role: Senior Sales Engineer
- Department: Product Management - Missions Line of Business
- Location: Espoo, Finland (preferred). Remote within the Europe possible.
- Reports to: Director of Sales Engineering, Missions
- Employment type: Permanent
- Working type: Hybrid (2-day remote policy)
- Employment is subject to applicable security screening (incl. SUPO)
The Mission of the Senior Sales Engineer
Enable ICEYE to win mission opportunities by defining, validating, and clearly communicating tailored technical solutions to prospective customers.
You will provide technical leadership in proposals and customer interactions, working at the intersection of Sales, Product, and Engineering. You will shape EO mission concepts, craft high-quality responses to institutional and government tenders, and support customer engagements from early discussions through final proposals and contracts, acting as a trusted technical advisor throughout the tender lifecycle.
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, and finance.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. More than 900 employees share the ambition of improving life on Earth by becoming the global source of truth in Earth Observation.
Expected Outcomes
- Lead full technical solution for large proposals or institutional tenders (e.g. ESA, EDF EU), on-time and aligned ICEYE offering and buyer expectations.
- Deliver high-quality technical proposals for mission opportunities, including complete, accurate responses to RFIs, RFQs, and RFPs.
- Run and integrate mission analyses and simulations (coverage studies, payload performance scenarios, feasibility checks) to validate solutions.
- Provide timely technical support to Missions Sales throughout the sales cycle, ensuring clear, consistent, and compelling solution narratives.
- Strengthen customer engagement through well-structured technical presentations, clear communication, and professional handling of clarifications.
- Be recognised by Sales and BD as a go-to technical voice for institutional and complexe defence customers.
- Raise proposal quality across the team through technical review and mentoring, and upskill sales teams through technical training.
CORE COMPETENCIES
Qualifications
- Master’s degree in Engineering, Aerospace, Physics, or a related field
- 8+ years of experience in sales engineering, bid management, or pre-sales, ideally in a Newspace-sector setting
- Proven ability to translate complex systems into customer-friendly value propositions, and navigate complexe procurement environments.
- Track record of leading technical volumes end-to-end on multi-partner bids.
Technical & Industry Knowledge
- Strong understanding of space systems, EO missions, and space mission design
- Ability to interpret and respond to complex technical requirements and/or statements of work in structured tender formats, and to craft compelling narratives that align ICEYE technology with structured technical requirements.
- Familiarity with the ESA and EU tendering environment, terminology, and evaluation processes is a plus.
- Knowledge of SAR and/or multi-sensor ISR (optical, SIGINT) is a plus
Skills & Attributes
- Excellent written and verbal communication skills in English
- Strong customer focus and problem-solving mindset, with high attention to detail
- Proactive, accountable, and comfortable working with ambiguity across teams in a fast-paced, global environment
- Strong team player and collaborator
- Willingness and ability to travel regularly (20-30%, plus regular time in Espoo if based remotely).
- Eligible for national security screening
KEY COMPETENCIES:
In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process:
- Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity.
- Passion & Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge.
- Ownership & Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered.
- Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate.
- Integrity & Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow.
Application Process:
1. Recruiter interview
2. Hiring Manager interview
3. Take home task + presentation
4. Peer interview
5. VP interview
What We Offer at ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team — which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
Benefits:
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Time for self-development, research, training, conferences, or certification schemes
- Benefits vary by location. Your recruiter will provide a detailed overview for your specific country during the hiring process.
Our Commitment to Diversity, Equity, and Inclusion
At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together.
Location: Kaunas
Workplace: Hybrid
ABOUT THE TEAM
Great teams don't just happen. We help build them. 🚀
At Eneba, our People team is all about bringing great people together, helping them thrive, and making every step of their journey with us a great experience.
Now, we're looking for a People Operations Coordinator who is excited about discovering fresh talent, spotting potential, and helping the next generation of professionals kick-start their careers.
Your main mission? Make our internship hiring program a success, from the very first application to welcoming our newest Enebians on board.
And when internship season slows down? You'll get to explore the broader world of People Operations, from onboarding and employee experience to improving the processes that keep our People team running smoothly.
It's a role where recruitment meets operations, where no two seasons look quite the same, and where you'll have plenty of room to take ownership, bring ideas to life, and grow.
ABOUT YOU
You are highly organized, proactive and enjoy owning processes from beginning to end.
You are comfortable speaking with candidates, conducting structured interviews and making decisions about who should progress through the hiring process. At the same time, you enjoy the operational side of People work — coordinating stakeholders, keeping systems accurate and making sure things happen when they should.
You are particularly interested in early-career talent and enjoy identifying potential in candidates who may not yet have extensive professional experience.
You take ownership, follow through and are comfortable chasing stakeholders when something needs to move forward.
WHAT YOU’LL DO
- Own Eneba’s internship hiring program end-to-end, from opening roles through successful hires and onboarding.
- Partner with hiring managers to understand internship needs, hiring plans and candidate profiles.
- Create and publish internship vacancies across relevant channels.
- Review applications and identify candidates who meet the required criteria.
- Conduct structured first-stage interviews with internship candidates.
- Assess motivation, communication, potential, role fit and overall candidate quality.
- Maintain a consistent quality bar and ensure only suitable candidates progress to hiring managers.
- Coordinate interviews and manage candidate communication throughout the hiring process.
- Ensure hiring managers provide timely feedback and keep processes moving.
- Maintain accurate candidate information and hiring stages in our ATS.
- Track internship hiring pipelines, conversion rates, candidate quality and other relevant hiring metrics.
- Identify bottlenecks and recommend improvements to sourcing, assessment and the overall internship hiring process.
- Coordinate internship offers, preboarding and handover into onboarding.
- Build strong candidate experiences throughout the internship recruitment process.
- Support onboarding activities for new employees, including schedules, documentation, equipment and internal coordination.
- Support employee data administration and other People Operations activities when internship hiring demand is lower.
- Help maintain People documentation, trackers and internal process guides.
- Support additional People projects depending on team priorities and capacity.
WHAT YOU’LL BRING
- Experience in recruitment, People Operations, HR, talent coordination, project coordination or another people-facing role.
- Confidence conducting structured candidate interviews and making first-stage assessment decisions.
- Strong judgment when evaluating junior or early-career talent.
- Ability to recognize potential beyond simply looking at years of experience.
- Strong organizational skills and the ability to manage multiple candidates, stakeholders and deadlines simultaneously.
- Strong communication and interpersonal skills.
- Ability to balance a positive candidate experience with maintaining a high hiring bar.
- High attention to detail and comfort working with ATS, HR systems, trackers and data.
- A proactive mindset and strong sense of ownership.
- Ability to spot when something is stuck and take action to move it forward.
- Comfortable working in a fast-moving environment where workload can fluctuate throughout the year.
- Interest in developing a broader career within People Operations and Talent Acquisition.
- Fluent English.
SALARY
21600–28800€/yearly gross
- Please attach your CV in English.
- To find out how we handle your personal data, make sure to check out our Candidate Privacy Notice.
WHAT IT’S LIKE TO WORK AT ENEBA
- Opportunity to join our Employee Stock Options program.
- Opportunity to help scale a unique product.
- Various bonus systems: performance-based, referral, additional paid leave and personal learning budget.
- Paid volunteering opportunities.
- Work location of your choice: office, remote, with opportunities to work and travel.
- Personal and professional growth supported by well-defined feedback and promotion processes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption.
УдалённоГеография найма не уточнена
United Kingdom, London
ОфисseniorГеография найма не уточнена
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.
УдалённоseniorUnited Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
seniorUnited States (Remote)
seniorCanada (Remote)
УдалённоseniorГеография найма не уточнена
УдалённоseniorMontreal, Canada
УдалённоEurope; New York; Toronto
ГибридseniorGermany; London; Munich; Zurich; Berlin
ОфисLondon; Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines
ГибридГеография найма не уточнена
УдалённоseniorRemote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Slovenia (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Greece (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote)
