Own the architecture, reliability, and evolution of our GCP data platform.
Translate business priorities and client requirements into a clear, deliverable technical roadmap.
Consumer Edge empowers top investment firms and global consumer and corporate brands with cutting-edge insights into consumer spending, leveraging privacy-compliant data across geographies. Our real-time intelligence and merchant-level benchmarks give clients a competitive edge.
Lead and manage a team of ~6 data engineers, driving execution, performance, and career development.
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance.
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow.
Kin simplifies homeowners' lives with smarter insurance, expanding to meet all homeowner needs. They employ Kinfolk across 35+ states and are recognized for growth, customer satisfaction, and a focus on long-term sustainability, fostering a culture of meaningful work and real impact.
Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure.
Define and drive the technical vision for data ingestion, processing, storage, and serving systems.
Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases.
SentiLink provides identity and risk solutions. They empower institutions and individuals to transaction with confidence. They have grown quickly and are backed by world-class investors.
Lead a team of engineers building Postscript’s Customer Data Platform from the ground up
Collaborate with product managers, data science, business stakeholders, designers, and other engineering teams to plan and execute work
Consistently provide ongoing technical mentorship and general professional development for your direct reports and other engineers at Postscript
Postscript gives e-commerce brands the tools they need to run a world-class SMS marketing program. They are a 100% remote organization with more than 250 employees, backed by Greylock, Y Combinator, and other top investors.
Lead, manage, and mentor a group of data engineers.
Own the design and development of data pipelines and systems.
Partner cross-functionally with Data Science and Product managers.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Lead and grow a team of data engineers, providing mentorship and technical guidance.
Own execution of customer integrations across multiple product lines, ensuring on-time delivery.
Improve data quality and pipeline reliability by investing in better alerting and resilience.
Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food. They are on a mission to eliminate food waste and make fresh food accessible to all and has saved 200M lbs of food waste in 2025 alone.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Lead, mentor, and scale a high-performing data engineering team.
Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark.
Tekmetric is an all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better. Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution. They value transparency, integrity, innovation, and a service-first mindset.
Design and implement core backend systems and integrations that power the product.
Design and build our data platform (orchestration, pipelines, developer workflows)
Create scalable systems for data ingestion, transformation, and access
Avantos is building the AI-native operating system for financial services, transforming fragmented data into a single, intelligent system. They power workflows, automation, and decision-making as a product-led, fast-moving team in AI, fintech, and infrastructure.
Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.
Manage and coach a growing team of 4 data analysts.
Act as the go-to analytics partner for Product, Growth, Finance, and Commercial leaders.
Guide the team on the questions that matter most at Airalo.
Airalo is the world’s first and largest eSIM store, helping travelers stay connected seamlessly in over 200 countries and regions. They trust their teams to take ownership, put customers first, and do work that has a real impact every day.
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
Auto Integrate makes leased vehicle maintenance frictionless for millions of customers in the USA and Canada. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.
You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Own, operate, and maintain the architecture and infrastructure of our data stack.
Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible.
Partner with stakeholders to understand their data needs and identify places where the analytics stack can improve on what they’re doing.
Grafana Labs is a remote-first, open-source powerhouse with more than 20M users of Grafana around the globe. Grafana Labs helps more than 3,000 companies manage their observability strategies with the Grafana LGTM Stack.
Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goalsOptimize data pipelines for performance, reliability, and scalability
Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
Demonstrate ability to delivery of of data products useful for machine learning and AI research and development (data models, metadata and semantics)
Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.
Directly manage 6 engineers across two squads with distinct technical profiles
Actively unblock engineers - technically and organizationally
Experiment with and help establish AI tooling practices that scale your team’s output
Recharge is the subscription platform for the world’s fastest-growing and most innovative brands, focusing on building the future of commerce around customer retention. They are a hands-on partner to over 20,000 brands globally and is known for its relentless product innovation and focus on ease of use.
Design, build, and maintain reliable ETL pipelines, integrating data from multiple sources into the Google Cloud Data Warehouse.
Own the product data structure, mapping product features and behaviors to analytics-ready data models, and define meaningful KPIs.
Act as the primary bridge between Backend Engineering and BI, owning the flow from data production to analytics consumption.
TuoTempo, part of the Docplanner group since 2019, develops the market-leading CRM solution dedicated to hospitals, medical centers, and health insurance providers. The platform manages and automates the entire patient journey, centralizing contacts, communications, and processes in a single modular system integrated with the software already used by organizations.
Design and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.