Scope and prove Sayari fits customer workflows before delivery.
Implement risk screening, graph analytics, and data integrations with Python and SQL.
Keep deployments healthy and build delivery playbooks.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk, resolving billions of primary-source records. Trusted by government agencies and Fortune 500 enterprises, it has offices in Washington D.C., London, Singapore, Tokyo, and Tel Aviv.
Build data pipelines that pull information from ERP, CRM, and accounting systems, covering ingestion, processing, and storage.
Put data quality and lineage controls in place so any number can be traced back to its source.
Build and manage training and evaluation datasets that power and measure AI models.
Lunon is an AI-native consulting firm in New York City backed by General Catalyst, embedding engineers inside client businesses to ship AI solutions that run without them. The team is young and fast-moving, with everyone owning what they ship end to end.
Architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications.
Transform static data lakes into active, low-latency backends for real-time, agentic AI applications.
Provide technical leadership, establish engineering best practices, and collaborate cross-functionally in a Tech/Creative environment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. Their team of 600+ skilled tech professionals in Latin America drives digital disruption by partnering with US companies on impactful projects.
Spend ~25% of your time onsite with customers across North America, learning their workflows and constraints.
Own the deployment plan for each customer, setting goals and running the weekly cadence with their leadership.
Build to fill gaps using SQL, Python, or AI coding tools to create reports, dashboards, and lightweight tools.
Realm builds AI for the mining industry, integrating with existing infrastructure to predict equipment failures and optimize safety and productivity. It's a small, senior, fully remote team that ships daily to production mines, with an AI-first culture valuing high agency and autonomy.
Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
Manage data infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes, ensuring reliability and cost-efficiency.
Partner with analytics and data science teams to deliver governed, tested, and documented data ready for AI tools and reporting.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. With over 50 million registered users and a high-performance, AI-first culture, GitLab is fully remote and values-driven.
Architect and implement automated systems that scale customer operations, trust and safety, and sales workflows.
Build integrations, internal tools, AI-powered support solutions, and real-time analytics dashboards.
Collaborate with product, engineering, and operations teams to optimize processes and enable rapid growth.
Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. With over $500M transacted and backing from GV and Foundation Capital, the company values inclusion, cross-functional work, and a healthy culture that empowers employees.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Act as the technical bridge between core engineering and state government partners, scoping and deploying data solutions.
Work with state Departments of Corrections to untangle messy data and integrate Recidiviz's platform.
Contribute code to the core platform and turn on-the-ground challenges into actionable insights.
Recidiviz is a technology nonprofit that builds data-driven software to safely reduce incarceration and improve outcomes in the criminal justice system. They are a small, mission-driven team backed by major philanthropists, with a culture of kindness, humility, and collaboration.
Turn internal apps prototyped in Lovable into secure, production-grade services on Google Cloud Run.
Build backends, middle layers, and data feeds connecting business systems to canonical data and planning tools.
Own security, automate reporting, and document work for maintainability while explaining trade-offs to stakeholders.
Software Mind develops impactful software solutions for companies around the globe. Their culture embraces openness, respect, grit, and combines delivering results with enjoyment.
Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.
Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.
Own client engagements end to end, from sitting with the people doing the work to deciding what to build and shipping production systems.
Build pipelines over speech, text, and event data, LLM-backed workflows with human review, and integrations with CRMs, telephony, and data warehouses.
Ensure reliability, observability, and security after launch, own what happens at 2 a.m., and teach the client's team to operate what you built.
Lunon is an AI transformation consultancy headquartered in New York City, embedding engineers into client businesses to turn AI into working production software. They are a small, fast-moving team that stays until the solution runs without them.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Own Moxie's data infrastructure end to end: pipelines, warehouse, and the modeling layer that every published number depends on.
Partner with Engineering on production schema changes and with Finance to model accounting logic.
Deliver high-impact data projects like accrual accounting models and historical EMR data modeling.
Moxie empowers aesthetic entrepreneurs to build profitable, independent practices. It is a global, remote-first team supporting 700+ practices nationwide, with a culture of ownership, speed, and care.
Own customer deployments end to end, working directly with customers to turn business problems into software.
Build automated, normalized pipelines on top of messy real-world supply chain data and shape optimization logic and models.
Wire Atomic into customer systems and partner platforms while building interfaces and AI features for plan analysis.
Atomic is rebuilding the brain behind the American supply chain with an AI-native stack, delivering operations optimization for customers. We're looking for first-principles thinkers who want to write code that drives the physical world and work directly with customers who run it.
Deploy directly to client sites to architect and build custom integrations and data pipelines using Addepar's APIs and modern tools.
Design and implement production-grade solutions to improve client onboarding efficiency and operational scale.
Serve as the technical owner for ADX implementations, designing robust data infrastructure within Databricks.
Addepar is a global data and AI platform that empowers investment professionals with actionable intelligence. With over 1,500 firms and nearly $10 trillion in assets under management, the company fosters a culture of ownership, collaboration, and innovation.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Own the most complex escalations end to end, from data mapping defects to forecast anomalies and integration failures.
Build tooling and agentic AI workflows to deflect support volume, quantify impact, and drive root-cause fixes.
Mentor Tier 1 and Tier 2 engineers, write playbooks, and represent Support in cross-functional forums.
Afresh builds AI for grocers to reduce waste and increase sales. After 70% revenue growth in 2025, it scaled to 6 enterprise solutions in 10% of the U.S. market with a culture of proactivity, kindness, candor, and humility.
Analyze workforce and business data to identify trends, patterns, and opportunities for customers.
Partner directly with customers to translate business needs into data-driven solutions and reports.
Automate manual processes and develop internal tools using Python, SQL, and other technologies.
Brightfield provides an AI-powered workforce analytics platform, TDX, that helps large companies manage their extended workforce using data from 139 countries. They are a fully remote team of data-driven innovators who value flexibility, ownership, and continuous learning.
Build the semantic layer that defines the measures and dimensions the model uses, ensuring consistent answers across personas.
Design and build the signal layer that surfaces client changes before the banker even asks.
Own the reasoning layer, a Codat-side LLM that turns signals into advice, plus the agents and MCP servers behind the assistant.
Codat is an advisory intelligence solution for modern commercial banking, turning clients' financial data into actionable insights and strategic advantages. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, it powers over 350,000 connections to business customers' financial systems with a small, fast-moving team.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.