Location: Birmingham, Alabama, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.
You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.
Your responsibilities will include
Leading root cause analysis for complex hardware and firmware failures across production fleets
Aggregating recurring problems and error patterns to identify systemic reliability issues
Acting as the senior escalation point for hardware-related incidents impacting availability or performance
Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions
Partnering with internal engineering teams to validate fixes and prevent recurrence
Performing hardware and firmware validation before fleet-wide rollout
Driving structured incident investigations using established IT problem management methodologies
Supporting on-site teams with technical coordination during critical hardware events
Improving hardware observability, failure tracking, and reporting processes
Contributing to long-term hardware reliability strategy and fleet-wide stability improvements
What we expect you to have
Strong hands-on expertise with server hardware in data center or large-scale production environments
Proven experience performing root cause analysis of hardware and firmware failures
Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes
Experience working directly with hardware vendors and engineering teams to resolve production issues
Structured problem-solving skills using formal IT or incident management methodologies
Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns
Experience coordinating technical activities with on-site operations teams
Ability to manage multiple concurrent investigations with production impact
Clear written and verbal communication skills in cross-functional environments
It will be an added bonus if you have
Experience in GPU-dense, AI, or high-performance computing environments
Exposure to firmware lifecycle management and large-scale rollout validation
Familiarity with Linux-based production systems and infrastructure tooling
Experience improving fleet-wide hardware reliability metrics at scale
Working conditions
Onsite work in the Birmingham Alabama Data center.
Participation in incident escalations for production-impacting events
Key employee benefits
Comprehensive medical, dental, and vision coverage
401(k) plan with company contribution
Flexible paid time off
Paid parental leave
Professional development support
Compensation
$125,000 – $180,000 per year plus annual performance-based bonus.
#LI-AL1
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$147,200
—
$183,900 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: San Francisco, CA, USA
About the Role
As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime.
You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company.
Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture.
This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress.
In this role, you can expect to
Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem.
Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution.
Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows.
Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture.
Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows.
Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners.
Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance.
Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns.
Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities.
To thrive in this role, you
Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems.
Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress
Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain.
Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries.
Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks).
Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads.
Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards.
Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them).
Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts.
Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.
#LI-DA1 #LI-Onsite
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$199,000
—
$275,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: New Jersey, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.
You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.
Your responsibilities will include
Leading root cause analysis for complex hardware and firmware failures across production fleets
Aggregating recurring problems and error patterns to identify systemic reliability issues
Acting as the senior escalation point for hardware-related incidents impacting availability or performance
Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions
Partnering with internal engineering teams to validate fixes and prevent recurrence
Performing hardware and firmware validation before fleet-wide rollout
Driving structured incident investigations using established IT problem management methodologies
Supporting on-site teams with technical coordination during critical hardware events
Improving hardware observability, failure tracking, and reporting processes
Contributing to long-term hardware reliability strategy and fleet-wide stability improvements
What we expect you to have
Strong hands-on expertise with server hardware in data center or large-scale production environments
Proven experience performing root cause analysis of hardware and firmware failures
Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes
Experience working directly with hardware vendors and engineering teams to resolve production issues
Structured problem-solving skills using formal IT or incident management methodologies
Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns
Experience coordinating technical activities with on-site operations teams
Ability to manage multiple concurrent investigations with production impact
Clear written and verbal communication skills in cross-functional environments
It will be an added bonus if you have
Experience in GPU-dense, AI, or high-performance computing environments
Exposure to firmware lifecycle management and large-scale rollout validation
Familiarity with Linux-based production systems and infrastructure tooling
Experience improving fleet-wide hardware reliability metrics at scale
Working conditions
Onsite work in the Vineland New Jersey Data center.
Participation in incident escalations for production-impacting events
Key employee benefits
Comprehensive medical, dental, and vision coverage
401(k) plan with company contribution
Flexible paid time off
Paid parental leave
Professional development support
Compensation
$125,000 – $180,000 per year plus annual performance-based bonus.
#LI-AL1
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$147,200
—
$183,900 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb.
What you’ll do in the role:
Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most.
Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact.
Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs.
Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers.
Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale.
Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value.
What you’ll bring to the role:
Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes.
Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices.
Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business.
Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed.
Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes.
Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value.
Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck.
Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole.
Base Salary based on level of experience
$250,000
—
$280,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM
- The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are pioneers in the travel space and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us not only to deliver exceptional customer experiences, but also to drive meaningful growth for their businesses.
- Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint.
- We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard for what it means to go beyond your role, and help build the travel industry of the future.
WHAT YOU’LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU’LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
We are seeking an experienced Team Lead – Technical Project Management, EMEA to lead a team of Technical Project Managers delivering enterprise software and integration projects across the EMEA and APAC regions.
Responsibilities
This role is focused on people leadership, customer management, portfolio oversight, resource planning, and delivery governance. The Team Lead will coach and develop TPMs, maintain visibility into project health and risks, support challenging customer engagements, and ensure consistent delivery practices across the region.
The successful candidate will serve as the primary EMEA and APAC counterpart to global delivery leadership, providing clear visibility into project status, customer concerns, resource needs, and issues requiring escalation.
This position is based in Porto, Portugal. Below are the responsibilities for the role:
Lead, coach, and develop Technical Project Managers, including performance management, career development, and regular feedback.
Maintain oversight of EMEA customer projects, including project health, milestones, risks, dependencies, and customer concerns.
Serve as a leadership escalation point for complex delivery and customer issues.
Join customer engagements when necessary to support TPMs and drive issues toward resolution.
Coach TPMs through challenging projects and customer situations while developing greater independence and leadership capability within the team.
Manage TPM project assignments, workload, capacity, and resource priorities across the region.
Provide regular portfolio updates to global delivery leadership and proactively escalate significant risks or resource constraints.
Ensure consistent project governance, status reporting, risk management, escalation, and stakeholder communication.
Coordinate with Product, Engineering, Support, Sales, and other internal teams to resolve cross-functional delivery challenges.
Identify recurring delivery challenges and improve project management processes, tools, and best practices.
Build a collaborative, accountable, and customer-focused team culture.
Requirements
Proven experience directly managing, coaching, and developing Project Managers, Technical Project Managers, or similar delivery professionals.
Strong experience managing enterprise customers, customer expectations, difficult conversations, and escalations.
Experience overseeing multiple concurrent enterprise software projects and maintaining portfolio-level visibility into project health and risk.
Strong resource management, prioritization, organizational, and problem-solving skills.
Experience delivering enterprise software or technology projects.
Excellent communication, interpersonal, coaching, and leadership skills.
Fluent professional English and German are required.
Ability to work effectively with distributed teams and customers across the EMEA region.
Enterprise integration knowledge, strong working knowledge of REST APIs, system integrations, authentication, and data exchange.
Based in or able to work from Porto, Portugal.
The following are some nice to have requirements:
Previous experience as a Technical Project Manager, Technical Program Manager, Solutions Architect, Engineer, or similar technical role.
Familiarity with cloud infrastructure, Kubernetes, networking, CI/CD, and modern DevOps practices.
Experience with ERP, WMS, CRM, or other enterprise systems.
Experience working within a global software organization.
Experience with Agile or Scrum-based software delivery.
Bachelor’s degree in Computer Science, Engineering, Business, Project Management, or a related field.
Professional proficiency in additional European languages.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking a Technical Project Manager (TPM) to support the delivery of enterprise software and integration projects for customers across the EMEA region.
This role is ideal for someone with a strong technical foundation who wants to develop their career in technical project management. Candidates may come from software development, engineering, technical consulting, implementation, or project delivery backgrounds.
The TPM will work directly with customers, developers, and internal teams to coordinate software delivery, manage project activities, and translate between technical and business stakeholders. Prior experience working with large enterprise systems is beneficial but is not required.
The ideal candidate has approximately 3–5 years of relevant professional experience, strong technical aptitude, and the ability to develop both customer-facing and project leadership skills.
This position is based in Porto, Portugal. Below are the responsibilities for the role:
Manage enterprise software projects across EMEA from discovery through deployment and post-launch support.
Work with customers to understand technical requirements, business objectives, timelines, and success criteria.
Coordinate activities between customers, developers, Product, and other internal stakeholders.
Manage project plans, timelines, deliverables, dependencies, risks, and action items.
Participate in technical discussions involving APIs, applications, cloud infrastructure, databases, and integrations.
Translate customer requirements and business needs into clear information for technical teams.
Coordinate testing, validation, release planning, and deployment activities.
Support troubleshooting and root-cause analysis for customer and system issues.
Identify project risks and escalate issues when additional technical or leadership support is required.
Provide clear and consistent project status communication to customers and internal leadership.
Develop knowledge of enterprise software delivery, customer systems, and integration practices.
Promote strong project documentation, communication, and cross-functional collaboration.
Requirements
3–5 years of relevant professional experience in software development, technical project delivery, engineering, implementation, technical consulting, or a related field.
Strong technical aptitude and understanding of software development concepts.
Ability to communicate effectively with software engineers and understand technical requirements and dependencies.
Familiarity with APIs, applications, databases, networking, cloud technologies, or similar software concepts.
Strong organizational skills and ability to manage priorities, timelines, and multiple workstreams.
Strong analytical and problem-solving skills.
Excellent interpersonal and communication skills with the ability to work directly with customers.
Desire to develop project management and customer leadership capabilities.
Fluent professional English.
Ability to work effectively with distributed teams and customers across the EMEA region.
Based in or able to work from Porto, Portugal.
The following are some nice to have requirements:
Experience integrating software with customer enterprise systems or systems of record.
Experience reading, writing, or exchanging data with ERP, WMS, CRM, MES, or other enterprise platforms.
Previous experience managing customer-facing software projects.
Experience with REST APIs and integration workflows.
Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android.
Familiarity with Kubernetes, cloud-native environments, MySQL, MS SQL, or OpenAPI.
Previous software development or engineering experience.
Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing.
Experience working in Agile or Scrum environments.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Additional European language proficiency.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking an experienced Senior Technical Project Manager (TPM) to lead complex enterprise software and integration projects for customers across the EMEA region.
The Senior TPM will own projects from discovery through deployment, serving as the primary bridge between enterprise customers, engineering teams, product teams, and internal stakeholders. This role requires strong technical knowledge combined with proven experience integrating software with customer enterprise systems and systems of record.
The ideal candidate has 8–10+ years of relevant experience delivering technical software projects and is comfortable leading complex customer engagements involving APIs, enterprise integrations, cloud infrastructure, mobile applications, and distributed systems.
This position is based in Porto, Portugal. Below are the responsibilities for the role:
Lead complex enterprise software and integration projects across EMEA from discovery through deployment and post-launch support.
Serve as the primary technical and delivery liaison between enterprise customers, engineering teams, Product, and other internal stakeholders.
Collaborate with customers to understand business objectives, technical requirements, timelines, and success criteria.
Translate customer business and technical requirements into actionable project and integration plans.
Lead integrations with customer systems of record, including the exchange, reading, writing, and synchronization of business data.
Coordinate development involving APIs, backend services, mobile applications, cloud infrastructure, databases, and enterprise systems.
Manage project timelines, deliverables, dependencies, risks, priorities, and customer expectations across multiple concurrent initiatives.
Facilitate technical and architectural discussions between customer and internal engineering teams.
Lead testing, validation, release planning, and production readiness.
Drive structured troubleshooting and root-cause analysis for complex customer and integration issues.
Proactively identify project risks and drive mitigation and escalation plans.
Provide clear project status, risk, and technical communication to customers and internal leadership.
Mentor and support less experienced TPMs when appropriate.
Promote best practices in project delivery, technical documentation, and cross-functional collaboration.
Requirements
8–10+ years of relevant experience in technical project management, software delivery, software engineering, enterprise integrations, or related roles.
Strong technical background with the ability to work directly with software engineers and customer technical teams.
Proven experience integrating software with customer enterprise systems and systems of record.
Experience designing or delivering integrations that read, write, and exchange data with external customer systems.
Strong experience with REST APIs, integration workflows, authentication, and system-to-system communication.
Experience delivering complex enterprise software projects from requirements and discovery through production deployment.
Understanding of cloud environments, networking, databases, application architecture, and containerized applications.
Strong troubleshooting and root-cause analysis capabilities.
Strong enterprise customer-facing and stakeholder-management experience.
Proven ability to independently manage complex projects, risks, dependencies, and escalations.
Excellent communication, organizational, analytical, and problem-solving skills.
Fluent professional English.
Ability to work effectively with customers and distributed teams across the EMEA region.
Based in or able to work from Porto, Portugal.
The following are some nice to have requirements:
Experience with ERP, WMS, CRM, MES, or similar enterprise platforms.
Experience with platforms such as SAP or other business-critical enterprise systems.
Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android.
Experience with Kubernetes and cloud-native environments.
Experience with MySQL, MS SQL, OpenAPI, and API lifecycle management.
Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing.
Experience with DevOps practices and Agile or Scrum-based development.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Additional European language proficiency.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Remote
Workplace: Remote
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
ROLE SUMMARY
Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams.
The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization.
At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower.
This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk.
KEY RESPONSIBILITIES
- Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way.
- Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around.
- Do the first real implementation yourself, on a real workload with a real team, not in a demo repository.
- Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models.
- Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure.
- Own migration and adoption, including moving existing services onto the path and retiring what it replaces.
- Stay in code review across teams and close to production incidents as primary evidence of where the path is failing.
- Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes.
- Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance.
- Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams.
- Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence.
- Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced.
- Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services.
- Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited.
- Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments.
- Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable.
- Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default.
- Establish one standard way to build, run, evaluate, and operate AI systems.
- Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem.
- Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room.
- Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly.
- Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments.
- Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces.
- Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked.
- Represent technical direction to leadership and carry business context back to engineering.
- Partner with Product to shape the roadmap and translate ambiguous business problems into architecture.
- Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents.
- Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted.
QUALIFICATIONS
- Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production.
- Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks.
- Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around.
- Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control.
- Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both.
- A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why.
- Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships.
- Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system.
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows.
- Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment.
- Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided.
- Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate.
- Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled.
- Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role.
PREFERRED QUALIFICATIONS
- Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR.
- Previous experience in a venture-backed high growth company.
- Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement.
- Experience with GitLab CI at scale, including shared and templated pipelines.
- Production observability and LLM observability practice, including Datadog.
- Event-driven and streaming architecture, such as Kafka or Flink.
- Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs.
- Experience defining an AI governance or technology radar process alongside a security or compliance partner.
A LITTLE MORE ABOUT US:
- We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
- We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
- Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average.
- Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve.
BENEFITS
Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave.
JOB APPLICANTS
If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.
Location: Ljubljana, Slovenia
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We're looking for a proactive, resourceful, and AI-forward Tech & Marketing Operations Specialist to manage our technology projects, keep our learning platforms running seamlessly, and power the marketing engine that brings students to them
This role suits someone with a broad technical fluency who thrives on coordination, troubleshooting, and hands-on building. You don't need to be a professional developer, but you do need to be comfortable using tech tools to design, prototype, and ship real solutions.
The position will be based at the Madrid office with a hybrid work model.
What You’ll Do
Platform & Systems Management
Tech project management:
Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals.
LMS management (WordPress & LearnDash):
Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting.
CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud):
Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed.
System integration:
Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations.
Data integrity & reporting:
Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed.
Website support:
Provide general technical support for the website and coordinate with relevant resources to resolve issues.
Compliance & security:
Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT.
Marketing Operations & Growth
Campaign execution:
Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene.
Landing pages & lead capture:
Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation.
Tracking & attribution:
Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end.
Lifecycle & retention automation:
Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers.
Martech stack & compliance:
Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy.
AI for marketing:
Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling.
Technical Bridge & Coordination
Stakeholder liaison:
Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications.
Specification writing & QA:
Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout.
Documentation:
Keep the operations manual and technical documentation current and useful for the team.
Cross-functional project leadership:
Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step.
AI Development & Innovation
AI builder mindset:
Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting).
Tool development:
Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features.
Exploration & evaluation:
Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.).
AI project ownership:
Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling).
Responsible use:
Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems.
What You Need For This Role
You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others.
You have
5+ years
of experience managing Education and Marketing tech projects.
You are genuinely
curious about AI
and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool).
You bring project management skills with a track record of leading initiatives from scope to delivery.
You're a strong communicator who moves comfortably between technical and non-technical audiences.
You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked.
You understand
marketing funnels
and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements.
Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued.
Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus.
You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs.
Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus.
Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued.
You're highly organized, detail-oriented, and capable of managing multiple concurrent projects.
You're a self-starter, comfortable working independently.
What Will Make Us Really Love You
You bring a track record of success in a similar role, with hands-on experience.
You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table.
You anticipate challenges before they arise and take initiative to find effective solutions.
You have an eye for detail.
You thrive on teamwork but also bring a driven, goal-oriented spirit.
You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends.
You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way.
What You’ll Love About Us
We care about your individuality by giving you freedom to grow and create within the company, regardless of your position
Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising
Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets.
We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated.
Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents.
At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising.
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,800. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: UAE - Dubai
Workplace: onsite
1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
Your mission
As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers.
You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization.
You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics.
What you’ll do
Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions.
Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces.
Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable.
Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers.
Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes.
Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support.
Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products.
Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance.
Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models.
Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches.
Who you are
Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions.
Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses.
Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions.
Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows.
Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability.
Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers.
Nice to haves
Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product.
Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions.
Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions.
A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.
Location: San Francisco
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.
Most merchants don't find Checkout.com http://Checkout.com through an ad. They find us because someone they already trust told them to look at us, whether that’s their ecommerce agency, their billing platform, their fraud provider, their consultant. We view partnerships as a core growth engine for Checkout.com http://Checkout.com, and this role exists to turn that trusted relationship into a repeatable, scalable revenue channel through disciplined execution, strong commercial instinct, and relentless ownership.
We're looking for a high-ownership self-starter who can originate, structure, and close partnerships that drive measurable revenue impact. Our ideal candidate is an operator with strong drive and bias for action — they move fast, take on meaningful challenges, and are recognized for the impact they deliver.
You'll own a portfolio of partners and the merchants they bring us. This is a builder role: you won't inherit a book that carries you to your number — you'll go and find it. At Checkout.com http://Checkout.com, ambition and quality work get met with opportunity, and growth is in your hands.
WHAT YOU'LL BE DOING
- Source new partners from a blank list — agencies, systems integrators, ISVs, fintechs and consultancies. Cold outreach, events, referrals, whatever gets you in the room.
- Win the commercial case: get partners to recommend Checkout to their clients ahead of the incumbent, built on the outcomes their clients care about — acceptance rates, market coverage, revenue.
- Win the technical commitment: make the case for a partner investing engineering time in building with Checkout, then coordinate Partner Engineering to deliver it and keep the integration current as our product evolves.
- Activate signed partners into producing partners — map their client base, train the solution architects and account directors who influence recommendations, and keep opportunities registered early.
- Structure and close referral, reseller and embedded models, negotiating across commercial, legal and operational dimensions.
- Own your number: net revenue, total processed volume, product penetration and conversion. You're recognized on partnerships converting into live merchants and revenue — not on signed logos or pipeline.
- Act as the single owner across Sales, Legal, Product, Partner Engineering and Marketing, removing blockers and driving launches to go-live.
WHAT WE LOOK FOR
EXPERIENCE
- 3+ years of experience in partnerships, business development, or strategic sales.
- Payments or fintech experience, processor or merchant side — gateway, acquirer, PSP, orchestration, fraud and risk, or a software platform where you sold payments to existing customers.
- Track record of closing Enterprise or complex, multi-stakeholder deals is a plus
- Experience structuring commercial models (rev share, reseller, embedded partnerships)
SKILLSET
- Strong commercial acumen - understands what drives revenue and margin
- Solid negotiation skills - can hold ground while progressing deals
- Ability to operate in cross-functional, high-ambiguity environments
- High attention to detail - no room for approximation
- Resilience for genuine cold outreach. Most of your first six months is finding partners who have never heard from us
MINDSET
- Owner mentality - accountability without excuses
- Performance-driven - focused on outcomes, not activity
- Low ego, high standards - direct, constructive, and solution-oriented
- Comfortable being challenged - and challenging back when needed
NICE TO HAVES
- Experience working inside or alongside an agency, systems integrator or ISV — you'll already know how partners decide which vendor to put in front of a client.
- Exposure to embedded payments, payfac or marketplace models.
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: Lithuania
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Serbia
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Portugal
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Poland
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian.
Experience in fintech.
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: New York City, New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Tavily at Nebius
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed.
About the Role
We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention)
and find the drivers behind them
. You'll work directly with our CEO and leadership as a thought partner on product and growth decisions.
This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM.
What You'll Do
• Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn.
• Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization.
• Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets.
• Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows.
• Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment.
• Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
• Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions.
• Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.
What We're Looking For (Must-Haves)
• 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent.
• 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics.
• A strong statistical foundation.
• A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation.
• Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment.
• Comfort working with large, messy, event-level datasets.
• Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions.
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
• Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
• Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
• BSc in Statistics / Math / CS or equivalent.
Nice to Have
• Experience at an API-first, developer-focused or PLG company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Experience with pricing and packaging analysis or usage-based billing models.
• Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work.
• Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications.
• MSc / PhD in Statistics / Math / CS or equivalent.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,000
—
$224,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: US - NYC preferred
Workplace: Remote
Asymmetric Research:
Asymmetric Research is a specialized security firm focused on long-term, integrated partnerships with L1/L2 blockchains and DeFi protocols. We help teams build resilient systems, strengthen security posture, and proactively address emerging threats.
Culture:
AR is a fully remote organization and members of our team have been strongly committed to open-source values for decades, having worked at organizations with deep open-source roots and strong security programs including Google, Netflix, Mozilla, Stripe, and Jump Crypto. We pride ourselves on maintaining the highest levels of confidentiality, trust, and professionalism.
About the role:
We're looking for someone to serve as a strategic partnerships manager to join our business development team. Your work would involve getting in front of crypto/AI builders and positioning us as the security and infrastructure partner of choice. You'll be building a pipeline through a mix of outbound outreach, in-person relationship-building, conferences, and other channels.
What you'd actually be doing:
- Identifying and prioritizing prospects (established protocols, exchanges, L1/L2 teams, fintechs, and AI companies)
- Being out in the market, attending conferences, meetups, dinners, wherever the people who make these decisions actually are
- Running full-cycle deals: outreach, scoping conversations, working with our team to size engagements, and closing
- Making a compelling, persuasive case for why security should be a priority.
- Using market signals (who's raising, shipping, or upgrading) to reach teams before they go looking for a security partner.
What we're looking for:
- Strong enterprise sales experience: 1-2+ years closing complex, larger deals. This matters more than web3, AI, or security background, which we expect you can pick up.
- Genuinely persuasive: comfortable making a case to skeptical, sophisticated buyers and changing their mind
- Strong market instincts: you read a market and know where to be, not just who to call
- NYC-based and in-market: you live in the NYC area and work the ground game in person, including meetings, events, and dinners. You'll work occasionally from our office at 1 World Trade Center to meet with the team and clients in person. You will travel up to 20-40% whenever a deal or event calls for it.
- Self-directed: we're a 50+ person team with a flat hierarchy, so you'll get trust and room to define the role, not a heavily scripted playbook
Good to have, not required:
- Existing relationships with funds, exchanges, or protocol teams
- Prior exposure to crypto, artificial intelligence, security, or technical sales is a plus
Benefits:
- 25+ days of paid time off
- Comprehensive stipends for home office, wellbeing, professional development, and more
- Pension/401(k) programs
- Life insurance
- Premium healthcare
- Competitive base salary
- Lucrative bonus programs
leadSan Francisco, CA, USA
New Jersey, United States
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seniorNew York City, New York, United States; We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed