Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for a Senior Data Scientist to analyze complex airport operational and passenger experience challenges using statistical methods, machine learning, natural language processing, segmentation, and experimental approaches.
In this role, you will work closely with product, operations, and engineering teams to identify opportunities, generate actionable insights, and support strategic decision making with data. You will apply advanced analytical techniques to understand problems deeply, validate hypotheses, and guide business prioritization.
The Airport Touchpoint domain focuses on enhancing the passenger experience across airport operations, from arrival through boarding, while improving the operational processes that support the journey.
This role is centered on deep problem discovery, leveraging statistical analysis, machine learning, natural language processing, segmentation, and exploratory analytics to uncover insights, identify improvement opportunities, and provide data driven evidence for strategic decision making and prioritization. You will transform complex operational and customer experience data into actionable recommendations that drive measurable business impact.
Analyze complex business and operational challenges using statistical modeling, clustering, natural language processing, and exploratory data analysis.
Generate actionable insights and supporting evidence to guide strategic prioritization across airport teams.
Apply advanced statistical techniques including hypothesis testing, inference, and multivariate analysis.
Conduct segmentation, clustering, principal component analysis, embeddings, and other dimensionality reduction techniques.
Build lightweight machine learning and natural language processing models including topic modeling, classification, and semantic grouping.
Design experiments and apply causal inference methodologies to evaluate business impact.
Develop reproducible analytical pipelines and datasets using Python and SQL.
Create dashboards and visualizations that support executive decision making.
Collaborate with Product, Airport Operations, Data Engineers, and other stakeholders to guide strategy through data driven insights.
Promote analytical rigor, documentation standards, reproducibility, and data driven decision making practices.
5+ years of experience in Data Science, Applied Analytics, or a related field.
Strong foundation in statistics, hypothesis testing, inference, and multivariate analysis.
Experience with segmentation, clustering, principal component analysis, and embeddings.
Hands on experience with machine learning and natural language processing techniques including topic modeling, classification, and semantic analysis.
Strong background in experimental design and causal inference.
Proficiency in Python, including Pandas, NumPy, scikit learn, and StatsModels.
Advanced SQL skills.
Experience building end to end machine learning models and reproducible analytical pipelines.
Strong data visualization skills and experience creating decision oriented dashboards.
Ability to communicate analytical findings effectively to executive and non technical audiences.
Experience collaborating across cross functional teams and influencing decisions through data.
Experience working in Agile environments.
Fluency in Spanish.
Intermediate English for documentation and cross team collaboration.
Experience in airport operations or logistics.
Familiarity with GCP tools (BigQuery, Dataform, Dataflow, Pub/Sub).
Experience scaling analyses and collaborating closely with Data Engineers.
Core Competences
Analytical curiosity and deep problem understanding.
Experimental and impact-oriented mindset.
Autonomy, ownership, and critical thinking.
Ability to turn complex findings into actionable recommendations.
Clear communication with both technical and non-technical teams.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence
About Reddit
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit
redditinc.com
.
Team Overview
The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably.
We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact.
This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence.
What You’ll Do
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.
Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.
Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.
Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.
Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders.
Who You Might Be
You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.
You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption.
You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.
You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
You can balance urgent customer needs with durable long-term architecture and reusable platform patterns.
You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.
You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$292,500
—
$409,500 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Ukraine; Azerbaijan
About the Role
OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly.
We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers.
What You'll Do
Develop and maintain our AWS-based data platform for a quickly scaling business.
Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems.
Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented.
Contribute to architecture decisions and technical direction across the platform.
Ensure data quality, performance and scalability.
Own data protection obligations within our pipelines, including retention, deletion and subject access requests.
Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions.
Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence.
Basic Qualifications
5+ years of professional experience building and running production data pipelines end to end.
Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided.
Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story.
Experience running dbt in production, including testing, documentation and CI.
Strong SQL, including tuning analytical queries, and strong Python.
Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift.
Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch.
Experience with infrastructure automation and observability, including infrastructure as code (Terraform).
Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests.
Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow.
Strong communication skills in English. Russian is a plus.
Preferred Qualifications
Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API).
Mortgage, property or financial services domain experience.
Experience with BI tooling such as Looker or Metabase.
Familiarity with managed ingestion tools such as Fivetran or Airbyte.
AWS certification.
What We Offer
Challenging tasks with a great opportunity to level up your skills.
20 working days of paid vacation, with additional days off following the UK holiday calendar.
Working hours of 9:00-17:00 London time.
An international team spread across Ukraine and Azerbaijan.
Ready to Build?
OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you.
Salary: $4,500 – $5,500
Workplace: fully
About Utorg
Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date.
Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra.
Location: Remote
About the Role
We are looking for an experienced
Head of Finance to lead and build out our Finance function.
You will own management reporting, financial control, settlements, budgeting, cash-flow planning, and team development.
Treasury (liquidity management, payment execution, FX operations, and fund movements) is a separate function and is not part of this role. You will collaborate closely with Treasury but will not have direct administrative authority over it.
As Head of Finance,
you will be the business owner of financial reporting and automation: define the financial logic, set requirements for the Data team, validate outputs, and embed automated reports into the department’s daily workflow.
Key Responsibilities
Own and deliver end-to-end management reporting: P&L, Cash Flow Statement, Balance Sheet, plan-vs-actual analysis, and profitability by product, merchant, payment method, and legal entity.
Build and maintain the budgeting cycle: operating budget, payment calendar, cash-flow forecast, gap analysis, scenario planning, and obligation tracking.
Design and run the financial control framework: regular reconciliations (internal system vs. PSP vs. bank), mismatch classification, SLA-driven resolution process, approval flows, and audit trail.
Manage merchant settlements: settlement amount calculation, provider fees, minimum fees, surcharges, refunds, chargebacks, FX conversions, and balance transfers.
Oversee multi-entity finance: consolidated reporting across several legal entities, currencies, and intercompany transactions; prepare data for statutory accounting and external audits.
Act as the business owner of financial automation: formalize financial logic, define KPIs and data sources, set requirements for Data Analysts, Data Engineers, and Development teams, and accept dashboards and reports into production.
Lead and develop the Finance team: hire, structure roles, assign accountability, and drive continuous improvement in a fast-changing environment.
Report financial results and insights to the CEO and founders in clear, business-oriented language.
Experience we are looking for:
8+ years in finance, with
at least 3 years managing a finance team or function
.
Background in at least one of: fintech, payments/PSP, acquiring, EMI, banking, crypto payments, or another high-volume transactional business.
Proven track record of building or transforming financial processes and moving from manual Excel-based reporting to automated pipelines.
Experience managing multiple legal entities, currencies, and intercompany operations.
Management Reporting
Hands-on ownership of P&L, Cash Flow, Balance Sheet, and plan-vs-actual reporting.
Ability to define financial metrics and standard calculation formulas; build unit economics.
Profitability analysis by product, client, channel, or business line.
Confident working with Volume, Revenue, Total Clearing Cost, COGS, Gross Profit & Margin, EBITDA, SG&A, Merchant Obligations, Provider Costs, Net Position, and Cash Flow.
Experience presenting financial results to C-level executives and board members.
Payments & Financial Operations
Deep understanding of money flow in a payment business.
Experience with settlement cycles, provider fees, processing and clearing costs, refunds, chargebacks, FX conversions, and balance transfers.
Ability to trace the financial result from a single transaction up to the consolidated P&L.
Reconciliation & Financial Control
Practical experience organizing regular reconciliations: internal data vs. PSP, PSP vs. bank, obligations vs. actual payouts.
Ability to classify discrepancies, set acceptable thresholds, assign ownership, define SLAs, and build a resolution process.
Experience with audit trail, separation of duties (calculation, verification, execution), and control of manual adjustments.
Data Team Collaboration & Automation
Ability to formalize financial business logic and define formulas, data sources, and acceptance criteria for reports and dashboards.
Experience setting requirements for Data Analysts, Data Engineers, and Development teams.
Ability to validate calculations, detect discrepancies between dashboards and source data, and prioritize automation by business impact.
Tools
Advanced Excel / Google Sheets and experience building financial models.
Experience with BI tools (Power BI, Tableau, Grafana, Looker Studio, or similar).
Comfortable working with large data volumes.
Language
English B2+ (Upper-Intermediate or higher). You will work with contracts, bank and PSP correspondence, participate in calls, and explain financial calculations to international counterparts.
Nice to Have
Hands-on experience with crypto payments: on-ramp/off-ramp, crypto-fiat and crypto-crypto conversions, blockchain fees, wallet balance reconciliation.
SQL knowledge; experience with BigQuery or other DWH.
Experience implementing ERP, reconciliation systems, or treasury management systems.
Background in an international company; experience with European PSPs, EMIs, or banks.
Experience building a finance department from scratch or leading a finance transformation.
External audit experience.
Remote team management experience.
What We Expect in 6 Months
A clear Finance department structure with defined roles and accountability.
Automated P&L reporting with minimal manual Excel work.
Regular cash-flow forecasting in place.
Merchant settlement monitoring and discrepancy control are running smoothly.
Clear boundaries of responsibility between Finance, Treasury, and the Data team.
What we offer:
Work fully remote as part of an international company.
A data-driven environment with an established Data Platform, automated reconciliations, and data-quality checks already in place.
Direct reporting line to the founders and CEO, with full ownership over the Finance function.
A clear mandate and timeline: within 6 months, you will build a structured Finance department, automate P&L reporting, launch regular cash-flow forecasting, and establish merchant settlement controls with the resources and support to make it happen.
A team ready for leadership. Existing finance staff, a dedicated Data team to partner with on automation, and a separate Treasury function that handles execution so you can focus on strategy and control.
Career growth as the company scales across multiple entities, currencies, and markets.
Competitive salary based on experience and individual performance review.
Transparent feedback and a culture that values ownership, open dialogue, and visible impact.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
- Challenging work and exposure to a variety of ML startups.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote
Workplace: remote
🌎 About Us
TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.
We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.
TeamSnap is seeking a Staff Software Engineer, Backend, to join our fully distributed engineering team and help us continue scaling systems that serve millions of daily users and tens of thousands of amateur sports organizations. Our primary backend stack includes Node and TypeScript, alongside Elixir, SQL, cloud-based services, event-driven systems, queues, background jobs, caching layers, and observability tooling.
We are looking for a hands-on Staff Backend Engineer with deep, meaningful production Node experience who can build and improve APIs and services, reason through production issues across the system, lead technical design in ambiguous areas, mentor engineers, and raise the quality bar across the team. This person should bring strong systems thinking that connects application architecture with infrastructure, platform, data, security, and other adjacent domains, bringing those teams into architecture and solutioning conversations early without being expected to own those functions directly.
As an engineering team, we architect and build scalable systems using service-oriented and event-driven architecture. This role will help shape the technical foundation behind TeamSnap’s product experience, with a focus on backend systems, APIs, services, data performance, reliability, observability, and production quality.
What You'll Do:
Architect, build, and evolve backend APIs, services, event-driven workflows, queues, background jobs, data models, caching strategies, and integrations that support millions of users and thousands of sports organizations.
Own complex backend product and technical work from discovery through design, implementation, rollout, production support, and long term maintainability.
Lead ambiguous technical initiatives by breaking down problems, identifying risks, making practical tradeoffs, and helping teams move from uncertainty to clear execution.
Provide technical leadership across our Node ecosystem by advancing shared patterns, standards, tooling, and practices, and helping engineers make better Node-specific architectural and operational decisions.
Connect application architecture with platform, infrastructure, data, security, observability, and other adjacent domains, identifying concerns early and bringing the right teams into architecture, solutioning, and scaling decisions.
Improve the reliability, scalability, performance, and operability of production systems through thoughtful architecture, strong testing practices, database optimization, caching, monitoring, alerting, and incident follow-up.
Debug complex production issues by reasoning across application code, databases, caches, queues, jobs, observability data, and the broader request lifecycle.
Partner with Product, Design, Engineering, Infrastructure, Platform, Data, Support, and other teams to turn roadmap needs into durable backend systems and practical delivery plans.
Strong interpersonal skills with the ability to give and receive constructive feedback, mentor engineers, influence cross-team alignment and articulate technical trade-offs to non-technical stakeholders
What Will Set You Up for Success:
Staff level backend engineering depth, with deep, meaningful production Node experience at scale and a strong track record of architecting, building, operating, and improving complex backend systems.
Deep Node and TypeScript experience, including strong understanding of runtime behavior, concurrency, failure modes, performance characteristics, production debugging, and the architectural tradeoffs involved in operating Node systems at scale.
Strong systems thinking, with the ability to connect application architecture and runtime decisions with platform, infrastructure, data, security, observability, and other adjacent domains, bringing those perspectives and teams into the process early as systems are architected, built, and scaled.
Strong SQL and relational database judgment, including indexing, query optimization, migrations, profiling, data modeling, transactions, read and write patterns, and performance tuning.
Practical understanding of service-oriented architecture, event-driven architecture, queues, background jobs, webhooks, Redis or similar caching tools, and systems that need to scale under real production load.
Working knowledge of production infrastructure and platform concerns, enough to reason through deployments, containers, CI/CD pipelines, cloud services, networking basics, observability, and operational debugging.
Strong production ownership mindset, with the ability to use logs, metrics, traces, dashboards, alerts, incident reviews, and system behavior to improve reliability over time.
Demonstrated ability to lead through influence, mentor engineers, facilitate technical decisions, communicate tradeoffs clearly, and connect backend technical choices to customer impact, business needs, and long term maintainability.
Bonus:
Previous work in or close partnership with infrastructure, platform, SRE, DevOps, or data teams.
Elasticsearch experience, particularly operating, scaling, troubleshooting, or designing search and indexing workloads in production.
Familiarity with BigQuery, analytics pipelines, reporting workflows, or high-volume data processing.
Responsible use of AI-assisted engineering workflows to improve debugging, testing, documentation, refactoring, prototyping, or developer experience without compromising quality or understanding.
Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.
Compensation
We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $200,000 inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.
🖥 Location
TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones.
We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time.
🚀 Opportunities to Grow
We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it.
🎩 Total Rewards
Remote-first since 2009
Flexible PTO and parental leave
100% premium coverage of medical, dental, and vision for you and your family
401(k) to invest in your future
$1,500 annual learning and development reimbursement
Travel to all-company meetings and team events
Generous home office allowance
TeamSnap swag when you start, plus a $50 store credit on every work anniversary
Monthly health and wellness reimbursement, and more
TeamSnap Total Rewards
🏆 Award-winning Culture
At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us.
🧡 Inclusion and Diversity
Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued.
Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer.
AI Notice
We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.
Location: New York, NY
Workplace: Hybrid
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US and London— we also have offices in NYC, San Francisco, Seattle, and London
We are looking for a highly-motivated senior IC who will work with some of Runway’s biggest and most strategic partners. You will be central to our partners’ success in adopting Runway to transform the ways they create content. Success in this role will require a mix of technical fluency, strategic thinking, and hands-on execution.
WHAT YOU’LL DO
- Own deep, trusted C-suite level relationships with Runway's most strategic partners (from Hollywood studios to Fortune 100 enterprises) ensuring they're not just customers, but long-term partners at the frontier of AI-driven creativity and innovation
- Be in the room where it happens: collaborating directly with world-class creative teams at the biggest Hollywood studios, brands, and F100 companies to co-create Emmy award-winning shows, Oscar-winning movies, Super Bowl commercials, and cultural moments that define a generation
- Operate as a strategic thought partner internally: codifying the use cases we know work today while pioneering the ones that don't exist yet, and translating both into initiatives that shape Runway's product strategy and industry positioning
- Get embedded within accounts to learn and understand their (content) pain points and challenges today, then propose discrete ways in which Runway can solve those challenges
- Identify and prototype specific and highly targeted new markets and new opportunities for our products
- Develop a deep, functional and technical understanding of our products and future roadmap
- Be hands-on in quickly onboarding new partners to our platform and/or API while also supporting their long-term expansion and technical understanding of how to leverage Runway
- Provide high-impact feedback to Product, Engineering, and Creative which can in turn improve the product experience for our partners
- Analyze, track, and report on the performance of existing partnerships leveraging BI tools and data
WHAT YOU’LL NEED
- 5+ years of overall experience in customer-facing roles, engaging C-level technical audiences with complex global organizations ideally within tech, finance, or consulting
- Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities with expansive ownership and ruthlessly prioritize
- A strong bias towards action and belief that no task is too small for you
- Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem
- Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
- High technical aptitude for understanding complex technologies, tools, systems, and issues
- Mindset to think creatively and think beyond past checklists and playbooks
- Highly resourceful with the ability to create structure and work autonomously amidst ambiguity
- Nice to have but not required: experience with data tooling and BI systems (SQL, BigQuery, Retool, etc)
- New York, SF, or London-based preferred
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on.
dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.
Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work:
dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both
.
You’ll help build dbt’s
AI-native developer experience
, including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across
Python, TypeScript, React, and Kubernetes
, with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff
What you’ll do
Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs.
Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics.
Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex.
Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked.
Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers.
Skills we are looking for
8+ years building production software, including senior-level ownership of projects that ran for months and involved several people.
Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff.
Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool.
Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks.
Strong written communication: you can make a technical argument in a document and bring people along.
Worked asynchronously as part of a fully-remote, distributed team
Bonus points for
Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down.
Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals.
Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift).
Migrated users off a legacy product surface and decommissioned it without breaking them.
Go, Rust, or systems-level performance experience.
#LI-HYBRID
#LI-JI1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.
As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.
In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python
Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite
Cloud & Platform: AWS, GCP, Azure
Observability & Monitoring: Grafana, Prometheus, Datadog
CI/CD & Automation: Jenkins, CircleCI, GitHub Actions
Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies
Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc)
What You’ll Do
Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
Write high-signal test strategies for complex features and automate them across multiple environments.
Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
Build internal tools and proof-of-concepts using AI/LLM technologies to:
Accelerate debugging and failure triaging
Generate high-quality test scenarios
Detect flaky patterns or regression risks
Improve log analysis and root-cause identification
Enhance developer and QA productivity
Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.
Collaborate with engineering and product leaders to align testing priorities and business objectives.
Skills We’re Looking For
6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
Deep understanding of OOP principles and strong proficiency in Java.
Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite.
Experience working with backend automation frameworks.
Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale.
Deep understanding of database internals
Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
Bonus Skills
Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL)
Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios.
Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure).
Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs.
#LI-HYBRID
#LI-VM1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for Senior Backend Engineer for Elva.
Location: Remote
Job Type: Full-Time
ABOUT THE PRODUCT:
We’re building an AI-driven video production platform that transforms ideas, references, and media fragments into structured video content.
The product uses a multi-agent AI system to handle different stages of the creative process — from content analysis and scripting to editing and video production.
It is designed for both professional creators and everyday users, allowing them to go from an initial concept to a finished video with significantly less manual work.
ABOUT THE ROLE:
We’re looking for an engineer who will help build and scale the core AI infrastructure behind the product.
You’ll work on LLM-powered workflows, multi-agent systems, integrations, and backend services that turn user inputs into reliable production pipelines. The role combines hands-on engineering with architectural ownership: designing how agents interact, improving system reliability and performance, and experimenting with new AI capabilities.
You’ll work closely with the product team and have significant influence over both the technical architecture and the quality of the final user experience.
Our stack:
- Python 3.12, FastAPI, Pydantic, SQLAlchemy 2.0 (async, asyncpg), Alembic
- PostgreSQL (Cloud SQL)
- Google Cloud: GKE (Kubernetes + Helm), Cloud Storage, BigQuery, Secret Manager
- Ory Oathkeeper (API gateway), Centrifugo (real-time), n8n (worker orchestration), KEDA (autoscaling)
- Docker, GitHub Actions, Artifact Registry
- pytest (asyncio) + Testcontainers
- structlog, Google Cloud Monitoring / Logging
What we expect:
- 5+ years of professional Python development, a solid share of it on an async stack (FastAPI / aiohttp / Starlette); deep understanding of asyncio.
- Strong PostgreSQL: schema design, transactions and locking, indexes, slow query analysis.
- Experience designing REST APIs and webhook integrations: idempotency, retries, consistent error handling.
- Hands-on performance work: profiling, metrics, load testing, and fixing the bottlenecks you find.
- Docker as a daily tool; Kubernetes at the "I deploy and debug my own service" level (each service ships its own Helm chart).
- A habit of writing tests (unit + integration) and taking features to production end-to-end: from design to monitoring.
Nice to have:
- GCP experience (or AWS/Azure with willingness to switch to GCP), Terraform.
- Mobile app billing: RevenueCat, Paddle, App Store / Google Play subscriptions.
- Auth systems: JWT, refresh token rotation, API gateways.
- Real-time messaging (WebSocket), workflow orchestration (n8n, Airflow, Temporal, Celery).
- BigQuery and analytics pipelines.
- Backend experience in mobile products.
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location: Wrocław, Poland
What is Box?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
Why Box needs you:
We are looking for a Machine Learning Engineer to design, build, and operate reliable machine learning systems that deliver meaningful product impact at enterprise scale. In this role, you will combine strong software engineering and applied machine learning skills to take solutions from idea through production. You will work closely with engineering, product, data, and infrastructure partners to develop scalable ML and agentic capabilities, improve model quality, and ensure that systems are secure, observable, and dependable for Box customers.
The Metadata Extraction team builds AI-powered capabilities that transform unstructured enterprise content into structured, usable metadata. The team works on the platform and machine learning layer of document understanding, developing and operationalizing technologies such as OCR and LLM-based extraction agents. These capabilities help understand document layout, tables, handwriting, semantic content, and other complex information within enterprise documents. As a Machine Learning Engineer, you will build reliable, scalable systems that support the development, evaluation, deployment, and operation of these AI capabilities. You will collaborate with engineers, product partners, and adjacent platform teams to bring document intelligence features to Box customers at enterprise scale.
What you'll do:
Design, build, deploy, and maintain production LLM agents, machine learning models and services.
Develop robust data preparation pipelines, prompt and tool design, and agentic workflows.
Write high-quality, maintainable, and well-tested Python code for production systems.
Partner with Product, Software Engineering, Data, and Infrastructure teams to translate customer and business needs into ML-powered capabilities.
Evaluate and improve agents quality using appropriate offline and online metrics, eval sets, experiments, and feedback loops.
Monitor production ML systems for quality, reliability, latency, cost, and data or model drift; investigate and resolve issues as needed.
Contribute to the architecture of scalable services and pipelines that support real-time and batch ML workloads.
Create clear technical designs, documentation, tests, and operational runbooks.
Share knowledge, contribute to engineering best practices, and help raise the bar for code quality and operational excellence.
Participate in an on-call rotation and help triage production issues when on call.
Who you are:
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You have 3+ years of experience building, deploying, or operating production software, data, or machine learning systems.
You have strong programming skills in
Python
and are comfortable writing production-grade, readable, testable, and maintainable code.
You have practical experience with the LLM based agents lifecycle: data and eval-set preparation, prompting and tool schemas, RAG, evaluation, deployment and monitoring.
You have experience with LLM application frameworks and libraries, such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and are comfortable calling LLM APIs (e.g. Gemini, Claude, OpenAI).
You understand core machine learning concepts and can make pragmatic trade-offs between model performance, reliability, latency, scalability, and cost.
You have experience building APIs, services, pipelines, or distributed systems in a cloud environment.
You are familiar with CI/CD, observability, testing, and production support practices.
You communicate clearly with both technical and non-technical partners.
You have an ownership mindset, enjoy solving ambiguous problems, and work collaboratively across teams.
Nice to have:
Experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking.
Experience with generative AI in production: multi-provider gateways, semantic search, or structured extraction.
Experience with multimodal intelligent document processing workflows.
Experience with a major cloud platform, including GCP, AWS, or Azure, and technologies such as Kubernetes and Terraform.
Experience with SQL and large-scale analytics (e.g. BigQuery) for quality, cost, and incident investigation.
Experience in enterprise software, security, search and retrieval, or content intelligence.
Experience mentoring engineers or contributing to technical direction.
Methodology
Agile management - Scrum
Issue tracking tool -Jira
Knowledge repository - GitHubEnterprise
Code reviews - GitHubEntreprise
Version control system - GIT
BENEFITS
Check out the
overview of Life at Box
which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
.
For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-hybrid #LI-OB1
Location: Remote USA
Workplace: remote
ABOUT YOU
You are a technical product manager who owns what a model optimises for, not just the roadmap around it. You have real depth in recommendation and ranking systems, and you will own the recommendation engine behind the Xsolla Advertising Products: the ranking that decides which offers millions of players see, and in what order.
You hold the bar high for how decisions get made. You can read a readout and say plainly what it does and does not support. You connect model performance to revenue without overclaiming, and you bring a low-ego, people-first approach to work that spans ML, analytics, ads operations, and commercial teams.
If you are excited about using ML to build building the next generation of advertising, rewards and loyalty programs for mobile apps and games we want to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Own the recommendation engine as a product: ranking, relevance, and the model roadmap. Ranking quality is the product.
Set the objective the ranker optimises for, the constraints it works inside, and the guardrails and kill conditions that bound it. The target is eCPM today; what comes next is your call.
Own the metric definitions the whole team measures against, and settle the definitional questions that change the answer: gross against publisher-side RPU, app-load against impression-user denominators, mean of daily values against window totals.
Collaborate with on ML frameworks, experiment design, hold-outs, including pre-registered decision rules, power calculations, sample-ratio-mismatch checks, A/A validation, multiplicity correction, and named rollback triggers.
Collaborate with DS on readouts to evaluate model performace and readouts to business stakeholders readout: what the model did, what it cost, and what happens next.
Contribute the ranking perspective to the wider ads roadmap, including the seams where pricing, identity, and event telemetry meet ranking.
Qualifications & Skills:
6+ years in product management, with 3+ years owning a recommendation, ranking, personalization, or relevance system in production.
Deep understanding of experiment design and inference, including minimum detectable effect, statistical power, sample ratio mismatch, A/A testing, multiple-comparison correction, and pre-registration. You can tell when a readout will not support the claim being made from it, and you say so.
Working knowledge of the modelling itself: classification and regression, probability calibration, predicted conversion rate, expected-value objectives, and how the choice of objective changes model behavior.
Hands-on experience with ML and data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, Vertex AI, and feature stores.
Proven record of moving model changes into production traffic through a controlled experiment process, rather than shipping on a dashboard reading.
Knowledge of performance advertising economics and ad tech ecosystems, including eCPM, RPU, bid multipliers, campaign hierarchies, and attribution models.
SQL you write yourself, and enough comfort reading application code to verify a claim instead of taking it on trust.
Excellent written communication and stakeholder management across technical and non-technical audiences. Specs, decision records, and readouts are the output of this role, and other teams act on them without you in the room.
Bachelor's or Master's in Computer Science, Engineering, Statistics, Economics, or a related field.
Offerwall, rewarded advertising, loyalty and rewards programs and/or mobile app monetization experience is a plus.
Experience with a two-stage ranking system, where an external service supplies the base order and local logic adjusts it, is a plus.
Pricing, yield management, or marketplace experience alongside ranking is a plus.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Sr. Technical Product Manager, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/managing budgets/accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by alumni of Goldman Sachs' Digital Assets team, we're backed by some of the best investors in the world, including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are the category leader by AUM, well-capitalized, and growing quickly. We're fully remote, with team members across the U.S.
About the role
Our Data Science team turns on-chain and off-chain data into the analytics, risk, and decision-making infrastructure behind Ondo Global Markets (tokenized stocks) and Ondo Perps. We're hiring
Ondo's first Data Engineer
to build the foundational data platform that this work depends on—consolidating fragmented data sources, standing up a unified warehouse in BigQuery, and making trustworthy, well-modeled data available to the entire team.
This is a hands-on infrastructure role with end-to-end ownership. You'll lead the migration of analytics into BigQuery, work directly in the Go services that power Ondo Perps to ingest additional data into the warehouse, and build the repeatable ETL pipelines that let data scientists, risk, and analytics move quickly and self-serve. You'll partner closely with Data Science, Backend Engineering, Risk, and Product to replace today's siloed, ad-hoc pipelines with reliable, observable, and reusable data infrastructure.
Our team operates with high autonomy, high trust, urgency, and an uncompromising quality bar. We're looking for someone who improves the platform without waiting to be asked, cares deeply about data quality and correctness, and pairs strong engineering judgment with humility. You'll shape both Ondo's data foundation and how our Data Science team builds and scales analytics.
Responsibilities
Lead the migration of analytics and existing data workflows into BigQuery, establishing it as Ondo's unified, trusted warehouse and reporting layer.
Read, understand, and extend the Go services powering Ondo Perps to ingest additional data into the warehouse (e.g. changefeeds and streaming/batch sinks from production systems).
Design, build, and operate repeatable, well-tested ETL/ELT pipelines that the wider Data Science team can rely on and reuse.
Consolidate fragmented and siloed data sources—internal databases (CockroachDB, QuestDB), on-chain and market-data vendors (Allium, Dune, Databento), and product analytics—into consistent, well-modeled datasets.
Establish standards for data ingestion, transformation (e.g. dbt), orchestration, testing, lineage, and documentation so definitions are consistent and self-serve.
Experience building foundational metrics and dashboards, with strong opinions on data lineage and quality, in partnership with Data Science.
Own data quality, observability, monitoring, access controls, and cost management across the pipelines and warehouse.
Partner with Data Science, Backend Engineering, Risk, and Product to turn analytical and reporting needs into durable data infrastructure.
Requirements
5+ years of data engineering experience building and operating production data pipelines and warehouses.
Deep hands-on experience with a cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization.
Strong SQL and data modeling skills, plus experience with modern transformation and orchestration tooling (e.g. dbt, Airflow, Dagflow-style schedulers, or similar).
Experience designing batch and streaming ingestion (CDC/changefeeds, event pipelines) from operational databases into a warehouse.
Experience building data infrastructure for fintech, trading, or other high-integrity financial systems where correctness and auditability matter.
High standards for data quality, reliability, testing, observability, and documentation.
Clear communication, high ownership, and a track record of delivering effectively with both technical and non-technical partners.
Nice to haves
Proficiency reading and writing Go, or strong general software-engineering ability and a track record of quickly ramping on unfamiliar production codebases.
Experience with crypto-native or on-chain data, and vendors such as Allium, Dune, or Databento.
Familiarity with CockroachDB, QuestDB, Snowflake, or similar operational and analytical stores.
Experience enabling self-serve analytics and AI-over-data workflows for analytics and data science teams.
Exposure to risk, quantitative analytics, or trading microstructure data.
What we offer
Competitive compensation including salary, future token rights, and/or equity, according to your preferences. We're well-funded and believe that great talent deserves great compensation.
Full benefits, including medical, vision, and dental coverage, plus a flexible vacation policy.
A remote-first team across many countries. You'll be an early team member helping shape our vision, culture, and engineering practices.
A+ colleagues. Our team includes alumni from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap.
Best-in-class investors. We are proud to be backed by leading crypto experts and venture firms, including Pantera Capital, Founders Fund, and Coinbase Ventures.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on.
One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies.
This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches
Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company
Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it
Evolve the NPI methodology
Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness
Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment
Partner across the company
Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness
Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions
Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core
Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap
Minimum qualifications
Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations
Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology
Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations
Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts
Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose
A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
Bachelor's degree required
Preferred qualifications
Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar)
Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS)
Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations
Familiarity with safety, trust & safety, or security-review processes in a product context
Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran + dbt is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a high-performance, experienced hands-on technical program manager(TPM) in the security domain to be part of an Engineering team. In this role, you will be responsible for leading and managing security-related initiatives across the organization. It involves collaborating with cross-functional teams to ensure the successful planning, execution, and delivery of security programs. The TPM will act as a bridge between technical teams and business stakeholders, ensuring alignment with organizational goals while mitigating security risks.
The work is very diverse. Fivetran is a multi-cloud environment operating on AWS, GCP, and Azure. You will help select security tools, implement improvements within our environments, and assist in developing new processes to increase our security posture.
This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Bash, Python, JS, BigQuery, Looker, Sigma, Azure, AWS, GCP, Terraform, Docker, Kubernetes, Github, Buildkite, SonarQube, Grafana, Prisma, Synk, Signal Sciences, AI Tools
What You’ll Do
This is the primary person in engineering responsible for executing the security vulnerability management program for engineering, including infrastructure, code, and dependency vulnerabilities.
Collaborate with Security and Engineering teams to ensure vulnerabilities are identified, prioritized, and patched. Provide technical oversight and accountability to ensure the effective delivery of security fixes.
Enhance processes by evaluating tools, recommending improvements, and driving automation for faster resolution.
Usage of AI in defining the roadmap for a proactive security approach based on risk assessment/rating
Running the Dependency management and image hardening programs
Using AI to contribute to the remediation of code and infrastructure vulnerabilities
Establish and lead a code scanning program in collaboration with infrastructure, engineering, and security teams to ensure seamless integration and sustainable security practices.
Dedicate up to 20% of the time to assessing business systems to identify vulnerabilities and compliance gaps proactively. Develop a scanning and detection plan and establish policies and standards for internal data access tools to improve overall system security.
Advocate for tools and solutions that support shift-left strategies, driving early integration of security and testing in the development lifecycle.
Skills We’re Looking For
Over 5 years of experience in technical program management with a strong focus on security engineering, vulnerability management, cloud security, and application security.
Proficient in applying program management methodologies, tools, and best practices to deliver complex security initiatives.
Exceptional skills in prioritization, organization, and multitasking to manage multiple programs effectively.
Proven ability to work collaboratively with cross-functional teams, including product teams, SRE/QE engineers, and developers, to embed a security-first mindset into workflows and practices.
Deep understanding of key security domains, including application/infrastructure security, data privacy, threat modeling, vulnerability management, and secure software development lifecycle (SDLC).
Strong grasp of security concepts and principles, including network security, encryption, authentication, and authorization.
Hands-on experience with SAST/DAST tools, agent-based firewalls, IDS/IPS technologies, and automation tools for security orchestration. Experience with scripting languages for automating security processes.
Proficient in researching and validating vulnerabilities while proposing effective remediation or mitigation strategies.
Strong familiarity with OWASP principles and best practices for securing web applications, including the OWASP Top 10 vulnerabilities and Application Security Verification Standard (ASVS)
Up-to-date knowledge of market trends, emerging technologies, and best practices in cloud security
Strong analytical, problem-solving, and communication skills to address security challenges, coupled with the ability to influence and collaborate effectively with engineering teams in enhancing security measures and mitigating vulnerabilities in a dynamic, fast-paced environment.
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$158,284
—
$197,855 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote (US)
About Ondo
Capital markets are moving onchain. Ondo Finance is building the products and infrastructure that will bring them there.
We create institutional-grade, blockchain-enabled investment products and services, including tokenized treasuries, tokenized stocks and ETFs, and new trading experiences built for global, always-on markets. We are the category leader by AUM, well-capitalized, and backed by investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global.
The underlying financial infrastructure is complex. We believe the product experience should not be.
About the Web team
The Web team builds the product layer that makes Ondo's financial infrastructure accessible. We own the experiences through which users onboard, establish eligibility, move money, mint and redeem Ondo Stocks, manage portfolios, and use products across multiple blockchains.
We are a small team of exceptional engineers with broad ownership and a high bar for craft, judgment, and execution. We turn complexity across compliance systems, backend services, smart contracts, and external partners into products that feel clear and dependable.
Engineering on this team is distinguished by:
Product taste.
We simplify complex financial workflows without hiding the details that matter.
End-to-end ownership.
Engineers shape, build, launch, and improve the product.
Speed with confidence.
We scope sharply, move quickly, and hold a high quality bar.
Security and correctness.
Access control, auditability, privacy, and failure behavior are design constraints from the start.
High agency and low ego.
We act without waiting, invite direct critique, and make the team better.
About the role
As a Full-Stack Engineer focused on Growth, you will design the foundations of how users discover, understand, adopt, and return to Ondo's products. You will own the systems and product experiences that turn user insight into measurable growth across acquisition, activation, engagement, and retention.
Your scope spans the full growth loop—from public websites and user-facing product journeys to experimentation, analytics, content systems, backend workflows, and third-party platforms. You will set technical direction, define the measurement foundations, and evolve these systems as our products, markets, and scale change.
This is a foundational ownership role for a senior engineer. You will turn ambiguous growth opportunities into clear hypotheses, durable architecture, and polished product experiences. You will partner closely with Product, Design, Marketing, Data, and Engineering while owning the judgment: where friction matters, what to build, how to measure it, and when the evidence calls for a different direction.
The goal is not experiment volume. It is to understand users better than anyone else and turn that understanding into durable product improvements and measurable business impact.
What you'll do
Own the growth engineering strategy across discovery, acquisition, activation, engagement, and retention—from identifying the highest-leverage opportunities through technical design, launch, measurement, and iteration.
Design and evolve the foundations for experimentation, event instrumentation, attribution, funnel analysis, content, and lifecycle experiences so the team can move quickly and trust what it learns.
Build polished user-facing experiences and the backend systems, data models, APIs, webhooks, and third-party integrations behind them.
Work directly with users and product data to identify friction, form clear hypotheses, and make disciplined product and technical bets.
Turn validated learning into durable product capabilities and measurable business impact—not one-off experiments.
Partner with Product, Design, Marketing, and Data to lead launches, localization, and new ways to grow adoption across Ondo's products.
Improve organic discovery and conversion through technical SEO and AEO, performance, structured content, and clear user journeys.
Raise the level of the team through clear writing, thoughtful code review, strong operational ownership, and effective use of modern AI engineering tools.
What you bring
4+ years of experience building and operating production full-stack applications with React, Next.js, and TypeScript.
Experience driving measurable acquisition, activation, engagement, or retention outcomes through growth engineering, product-led growth, consumer product, ecommerce, or similarly data-informed product work.
Experience building and operating serverless systems on AWS, including Lambda and adjacent services such as API Gateway, EventBridge, or SQS.
Strong experience using BigQuery and product analytics data to model funnels, investigate user behavior, and measure product and business impact.
Strong fundamentals in API and data-model design, relational databases, event-driven systems, event instrumentation, experimentation, testing, and observability.
A record of owning product work end to end—not only implementing experiments or specifications handed to you.
Product taste: you can find the simplest experience that solves the user's problem without ignoring the complexity or edge cases underneath it.
Data fluency and intellectual honesty. You can define useful metrics, distinguish signal from noise, and change direction when the evidence challenges your hypothesis.
The ability to communicate clearly, learn unfamiliar domains quickly, and create alignment across engineering, product, design, marketing, and data partners.
High agency and low ego. You move important work forward, invite strong critique, and care more about the outcome than whose idea wins.
Preferred qualifications
Experience building fintech, trading, crypto-native, or other high-consideration products where earning user trust is essential.
Experience with lifecycle marketing, CRM, CMS, experimentation, localization, or analytics platforms.
Familiarity with AEO, structured content, international SEO, and growth across multiple regions or languages.
Experience applying AI to prototyping, personalization, analytics, content operations, or other growth workflows.
We do not expect every strong candidate to arrive with deep crypto or every growth specialty listed above. We do expect curiosity, strong product and engineering fundamentals, and the ability to turn learning into shipped improvements quickly.
What we offer
Challenging, high-impact work helping define how a global audience discovers and adopts a new category of financial products.
Competitive compensation including salary, future token rights, and/or equity, according to your preferences.
Full medical, vision, and dental benefits, plus a flexible vacation policy.
A remote-first environment with meaningful autonomy and influence over product and technical direction.
Exceptional colleagues from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap.
Backing from leading crypto experts and investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location: US remote-friendly
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
Communicate findings and recommendations to stakeholders across the organization
Stay up-to-date on the latest advancements in machine learning and data science
Mentor and guide junior data scientists on the team
Qualifications:
Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 5+ years of industry experience in applied science or data science roles
For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
Platform experience and a deep understanding of the ads ecosystem
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
Experience with SQL and relational databases
Excellent communication and presentation skills
Passion for Reddit and the online advertising industry
Bonus Points:
Experience with online advertising and ad tech
Experience with causal inference and A/B testing
Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
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This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
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The base salary range for this position is:
$190,800
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$267,100 USD
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Location: Cairo, Egypt; Alexandria, Egypt
Workplace: hybrid
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
Responsibilities
Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.
Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.
Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.
Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.
Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.
Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.
Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.
Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
Troubleshoot data issues and conduct root cause analysis when reporting data is in question.
Work on Gen AI related initiatives aligned with the company goals.
Required Technical Skills
PySpark - Batch and Streaming
GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage
NoSQL (preferably MongoDB)
Programming languages: Scala/Python
Great Expectation, or similar DQ framework
Familiarity with workflow management tools like: Airflow, Prefect or Luigi
Understanding of Data Governance, Data Warehousing and Data Modelling
Good SQL knowledge
Business
Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way
Proactively identify and contribute with team development initiatives, and supporting junior members
Good to have skills
Infrastructure-as-Code, preferably Terraform
Docker and Kubernetes
Looker
AI / ML engineering knowledge
Lineage, or relevant tools e.g. Atlan
DBT
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
We look forward to receiving your application!
Best of luck,
Your Yassir TA Team
УдалённоseniorRemote - United States
УдалённоseniorUkraine; Azerbaijan
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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