Leads AI/ML R&D, owning evaluation science across every agent and building predictive models for churn, demand, and payment recovery. - Drives model economics through distillation, caching, and cost optimization to reduce cost per successful task. - Sets enterprise eval methodology including golden-set design, sampling, and statistical thresholds to catch regressions before customers do.
Own a portfolio of AI workflows end to end, from prioritization and PRDs to adoption and live performance.
Redesign work with human-in-the-loop models, defining quality bars, handoffs, and escalation paths.
Be accountable for realized business value, monitoring production metrics and driving the iteration cycle.
QAD | Redzone provides an intelligent adaptive platform that connects people, processes, and data to help manufacturers achieve productivity and growth. The company values a collaborative culture where idea-sharing is prioritized over hierarchy, with growth opportunities as the business expands.
Set the multi-year vision for AI and lead the data science team.
Build and mentor a high-performing team of data scientists and ML engineers.
Drive AI from prototype to production, including LLM fine-tuning and agentic systems on AWS.
Xsolis is an AI-driven technology company reducing administrative waste in healthcare by enabling smarter collaboration between providers and payers. With 600+ clients and recognition on the Inc. 5000 and Deloitte Technology Fast 500, it is one of North America's fastest-growing privately held companies, known for a passionate, fast-moving culture.
Build and ship statistical, ML, and hybrid LLM models on real claims data.
Design evaluations and gold datasets with subject matter experts to continuously measure product impact.
Collaborate with a small senior team to turn model results into product decisions for auto casualty.
CCC Intelligent Solutions is a leading cloud platform for the insurance economy, connecting insurers, repairers, automakers, and part suppliers. Empowering 35,000 businesses, the company fosters a culture of innovation, integrity, inclusion, and connection.
Pick the right model for each job, from frontier APIs to open-weight models, and know when fine-tuning beats a better prompt.
Build evaluation harnesses and benchmarks that tell us whether a change made things better, then take models to serving and tune cost, latency, and quality.
Sit with the client's team, find where AI moves their numbers, and say no to work that won't pay back.
Lunon is an AI-native consulting firm in New York City, backed by General Catalyst, that embeds engineers inside businesses to ship AI software that runs without them. The team is young, fast-moving, and owns what it ships end to end.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Design state-of-the-art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships.
Translate benchmark insights into clear, compelling narratives for customer-facing presentations, technical reports, and go-to-market materials.
Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements.
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded in 2019 out of Stanford AI Lab, it works with leading AI labs and enterprises to move from better data to better outcomes.
Design multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Design and ship features end to end across data model, API, background workers, and UI.
Build and improve agent and model evaluation: sandboxed trials, scoring, and trustworthy aggregation of thousands of runs.
Improve benchmark task quality checks, integrate new models and agents, and keep the system fast and reliable as usage grows.
Turing accelerates superintelligence by providing high-quality datasets, reinforcement learning environments, and research benchmarks to frontier AI labs, and also deploys agentic AI systems for Fortune 500 enterprises. Headquartered in San Francisco, it operates with startup speed and an AI-forward culture.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Lead the development of an AI-powered job analysis engine that converts labor market data into structured occupational insights.
Build and refine NLP and machine learning models, including embeddings, semantic search, and transformer architectures.
Collaborate with product, engineering, and assessment science teams to deliver responsible AI solutions for workforce decisions.
The company builds an AI-powered job analysis platform that transforms labor market data into evidence-based occupational insights. It is a small, innovation-focused remote team that values scientific rigor, collaboration, and responsible AI.
Build and maintain predictive Customer Lifetime Value (LTV) models using transaction and behavioral data.
Develop statistical and machine learning models to forecast eCommerce performance and customer demand.
Partner with Marketing, Finance, and Product teams to drive data-informed business decisions.
Teleflora provides innovative marketing, education, and technology to support a network of florists, offering hand-delivered bouquets. It is part of The Wonderful Company, a $6 billion company with 10,000 employees, known for its commitment to corporate social responsibility and employee wellness.
Lead the GTM AI Engineering team, building AI agents, copilots, and workflow automations for Sales, Customer Success, Support, and Enablement.
Spend about 70% of your time hands-on building (prototyping agents, writing code, designing evals) and 30% leading strategy and influencing stakeholders.
Own the GTM AI platform architecture, evaluation frameworks, model routing, and adoption across the field.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a recent public company, Samsara values autonomy, long-term thinking, and a growth mindset, with a flexible remote-first culture.
Own customer outcomes and the metrics that prove them
Run deployments end to end with forward deployed engineers
Design, test and refine AI agents with the team
They are a late-stage, venture-backed enterprise AI company that helps customers deploy AI agents at scale. The company is growing quickly and values hands-on ownership, technical thinking, and a bias to action.
Build shared SDKs, APIs, and infrastructure for AI features and agentic workflows.
Integrate durable execution infrastructure for long-running agent workflows, including checkpointing, retries, and human-in-the-loop steps.
Develop evaluation and debugging tools that turn production failures into measurable improvements and regression coverage.
Vanta helps businesses automate security monitoring and demonstrate trust through compliance with standards like SOC 2, HIPAA, and ISO 27001. Founded in 2018, it has a kind, talented team and thousands of customers worldwide.
Own the end-to-end product lifecycle of Joy.ai's AI agent reasoning layer, from discovery to launch.
Drive agent orchestration across skills, tools, and other agents within Asurion's ecosystem.
Define product-quality evals that prove the agent is useful, trustworthy, and ready for real customers.
Asurion is a global tech care leader providing protection, repair, installation, and expert support for consumer devices. Its products and services help nearly 300 million customers worldwide, with a culture that values customer-first, teamwork, and integrity.
Monitor and synthesize trends across AI and machine learning research, foundation models, agents, and data enrichment methods.
Tinker with emerging models, tools, and datasets to build prototypes and run experiments that turn ideas into evidence.
Identify high-leverage opportunities to enrich data assets and translate research into actionable recommendations.
Troveo builds the data platform AI labs need to train next-generation models, with the world's largest licensed platform of scarce, proprietary data. It is a small, high-impact team backed by top investors, focused on transparency and work-life balance.
Build and productionize ML models that shape personalized member care and clinical outcomes.
Turn ambiguous clinical and operational questions into well-scoped modeling tasks with rigorous evaluation.
Partner with product engineering, clinicians, and analytics to deliver and maintain models at scale.
Virta Health is on a mission to transform type 2 diabetes and weight-loss care through technology, personalized nutrition, and virtual care delivery. The company has raised over $350 million, partners with major health plans and employers, and maintains a remote-first, values-driven culture.
Execute the analytics framework for AI analytics, tracking performance of agent-replacement AI across voice and chat channels.
Design and run test analysis for AI model and prompt experiments, translating results into go/no-go recommendations.
Build and maintain dashboards and scorecards tracking KPIs like containment rate, accuracy, quality/CSAT, and escalation rate.
National Debt Relief is a leading debt settlement provider founded in 2009, helping over 450,000 people settle more than $10 billion in debt. It is a certified Great Place to Work with an A+ BBB rating and a team-oriented culture focused on employee growth.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.