Builds and evolves shared frontend infrastructure, design systems, and developer tooling to enable scalable, high-performance user experiences. Requires strong experience in large-scale frontend systems and improving engineering velocity.

Annotates and evaluates AI-generated engineering workflows and outputs using verified information, while improving model responses across civil, mechanical, electrical, and chemical engineering tasks. Requires 3+ years of engineering industry experience and familiarity with CAD, material billing, and product lifecycle management.

Builds backend tools for enterprise control plane including access control, change management, and data warehouse optimization. Requires expertise in distributed systems, asynchronous workflows, and product-minded engineering for scalable, reliable architectures.

Builds and scales high-throughput streaming infrastructure to ingest and process billions of customer behavioral events in real-time at sub-second latency. Owns end-to-end projects, solves customer scaling issues, and influences roadmap in a remote-first startup.

Builds backend systems for Customer Studio, optimizing data warehouse performance, real-time audience syncing, analytics, and AI-enhanced workflows for marketing teams. Requires strong distributed systems expertise and product-minded thinking.

Designs and delivers technical solutions for enterprise healthcare customers, coordinating across engineering, product, and clinical teams to scope integrations, manage deployments, and resolve risks. Requires technical familiarity with modern stacks like Python, AWS, and CI/CD without coding.

Leads end-to-end deployments of AI systems for life sciences customers, embedding with teams to identify issues, build production agents/workflows integrating with their infrastructure, and turn wins into platform patterns. Requires hands-on AI experience, 0-to-1 building, and clear communication across technical/non-technical audiences.

Manages revenue recognition from contract negotiation to financial disclosure, partners with Sales and Legal on ASC 606 compliance, drives month-end closes, and provides technical guidance. Requires 5+ years experience, bachelor's degree, and NetSuite proficiency.

Owns Lovable’s end-to-end post-training pipeline for language models, adapting reinforcement learning and preference optimization to code-generation and agent workloads. The role combines production engineering, distributed training, evaluation, deployment, and rapid experimentation.

Builds automation, tools, and frameworks for data governance, quality, and compliance using Python and Terraform. Partners with engineering teams to implement trust signals, scorecards, and AI-enhanced workflows for reliable data at scale. Requires 5+ years experience.

Leads complex fraud investigations using Plaid's financial network data, reconstructs attacker behaviors, and collaborates with Data Science, ML, and Product teams to enhance detection models and fraud prevention products. Requires 3+ years applied fraud experience and strong analytical skills.

Product Manager driving Payments and Credit products for Plaid's fast-growing Europe team. Define problems, shape roadmap with data and customer insights, and partner with engineering/design to deliver intuitive financial tools. Requires 3-6 years PM experience, strong communication, and comfort in ambiguous startup environments.

Forward Deployed Engineer integrates customer data from Salesforce, customizes AI configurations, analyzes model performance with Python/SQL/ML, and iterates hands-on during onboarding/pilots to drive ROI and scale implementations. Requires 3+ years customer-facing experience, strong technical skills, and high ownership.

Designs, deploys, and optimizes AI agents for enterprise customers' GTM workflows, owning post-sale lifecycle and collaborating with sales teams. Requires 4+ years in product management or GTM, technical fluency in AI logic and SQL.

Designs, deploys, and optimizes AI agents for enterprise customers' GTM workflows post-sale. Collaborates with sales teams and engineers, analyzes performance with SQL, and drives AI adoption. Requires 4+ years in product management, consulting, or GTM operations with technical fluency.

Owns full-cycle technical recruiting for engineering, product, and leadership roles at an AI startup. Builds pipelines, manages candidate experiences, leads hiring processes, and closes top engineering talent in a fast-paced environment. Requires 3+ years in SaaS technical recruiting.

Leads brand, product marketing, and category development for AI company, owning narratives, content creation across formats, product launches, and distribution via organic/social/PR channels. Requires 4+ years execution experience in fast-paced environments, ideally AI/developer products.

Drives coordination across engineering teams and cloud partners (Amazon Bedrock, Google Vertex, Microsoft Foundry) for AI model deployments. Owns technical roadmaps, launch readiness, and cross-functional alignment in fast-paced AI environment. Requires TPM experience with cloud/AI tech.

Leads end-to-end implementation for enterprise customers, managing cross-functional execution, stakeholder alignment, and launch success metrics to drive platform adoption. Requires 3-7+ years in SaaS implementations with strong project management skills.

Analyzes GTM data across sales, pipeline, and operations to drive strategy, growth levers, and performance insights. Partners with leadership using SQL, BI tools, and Salesforce to deliver dashboards and recommendations. Requires 5+ years in analytics.

Builds backend systems for healthcare AI platform, focusing on data pipelines, distributed systems, EHR integrations, and AI model operationalization. Requires strong TypeScript backend experience and distributed systems expertise.

Monitors and optimizes trading processes, builds CI/CD pipelines for data/strategy deployment, ensures quality control, and drives operational improvements using Python, Linux, and SQL in a systematic trading environment.

Hands-on Linux Systems Engineer builds and maintains bare-metal servers, manages storage like ZFS, automates with Ansible and Bash, and ensures production reliability. Requires 3+ years Linux experience, physical server management, and on-call rotation with data center travel.

Builds and deploys custom integrations for hotel partners' ERP and property management systems, owning the full customer technical journey from discovery to production. Full-stack generalist with 5+ years experience in ambiguous environments and strong communication skills.

Drives enterprise sales cycles for AI infrastructure platform, from prospecting to contracting, exceeding revenue targets through C-suite relationships, negotiations, and product demos. Requires 5+ years B2B sales in AI/SaaS with proven quota attainment.

Leads end-to-end Folio Buy onboarding workflow for hotel customers, identifies bottlenecks, scopes product improvements, and builds monitoring/tooling to automate manual processes. Requires 3-6 years in product ops or adjacent roles, technical skills for coding/monitoring, and strong prioritization in fast-paced SaaS environment.

Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.

Manages key AAHOA partnership by building relationships with hotel owners and leaders through frequent travel (30-40%) to events, driving co-marketing, tracking adoption, and coordinating cross-functionally. Requires 5-8+ years in partnerships or business development, ideally in hospitality.

Lead clients through full implementation from contract to steady state, managing onboarding, training, go-live support, and handoff to CS while building strong customer relationships.

Manages end-to-end lifecycle of childcare providers in Ohio, from onboarding to growth, providing coaching on business operations, compliance, marketing, and platform adoption. Requires 3+ years in customer success or consulting, with regular regional travel.

Builds full-stack features with React/TypeScript, Node.js/Elixir, and Postgres while integrating AI agents for automated development pipelines. Owns AI code review, production monitoring, and tools enabling non-engineers; requires 5+ years full-stack experience and hands-on AI workflow expertise.

Builds systems and tooling to measure, monitor, and optimize token throughput from GPU infrastructure for OpenAI workloads. Integrates partner compute environments, benchmarks performance, analyzes tokenomics, and develops operational metrics and dashboards. Requires strong distributed systems and infrastructure engineering experience.

Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.

Builds and optimizes large-scale compute infrastructure for AI workloads, spanning hardware automation, distributed systems, Kubernetes orchestration, networking, storage, and developer tools. Requires strong systems engineering experience in performance, reliability, and production infrastructure.

Defines product positioning and messaging for developer infrastructure platform, owns launches, fills content gaps, builds internal agentic workflows, and tracks market/competitors. Requires product marketing experience in developer tools, technical fluency, and strong writing.

Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.

Account Executive owns full sales cycle for Speakeasy AI Control Plane, targeting mid-market and enterprise buyers. Requires 3-5+ years B2B SaaS sales experience with technical products, strong discovery, and C-suite relationship building.

Owns full sales cycle for AI-powered staffing solutions targeting CTOs and technical founders at venture-backed startups. Requires 4-7 years quota-carrying sales experience in SaaS/developer tools, tech fluency especially in AI/ML, and strong startup ecosystem networks.

Leads site-level QA/QC program for large-scale data center construction, ensuring MEP systems meet design specs through inspections, ITPs, NCR management, and commissioning coordination. Requires 5-7+ years construction QA/QC experience and strong MEP knowledge.

Builds and maintains scalable AWS infrastructure, CI/CD pipelines with GitHub, and secure AI Ops platform for clinical AI/ML products. Requires 5+ years in DevOps/SRE, Kubernetes proficiency, Terraform expertise, and healthcare compliance experience.

Hands-on engineering manager leading a small team to build AI-powered automation systems for internal operations across sales, support, finance, and more. Requires 3+ years management experience, deep AI application expertise, and full-stack technical skills in a fast-iterative environment.

Designs solution architectures and CONOPS for DoD pursuits, translates technical capabilities into customer narratives, leads engagements and demos, and liaises between growth and engineering teams. Requires 5+ years in technical pre-sales/systems engineering, DoD expertise, and active security clearance.

Trades and scales OTC digital-asset derivatives across options, forwards, and structured products while managing risk, driving P&L, and improving trading infrastructure. Requires 3–5 years of derivatives trading experience, strong quantitative skills, coding ability, and familiarity with crypto markets.

Leads end-to-end implementations for new municipal customers, managing onboarding, multi-stakeholder projects, and adoption while providing product feedback. Requires 3+ years in project management or consulting with strong communication and problem-solving skills.

Provides real-time support and troubleshooting for government agency customers using GovWell platform, optimizes workflows, builds relationships, and feeds insights to product team. Requires 3+ years client-facing experience in high-ownership NYC hybrid role with travel.

Builds and improves engineering platform systems at Ramp, enhancing developer workflows, CI/CD, testing, reliability, and scalability for Python monolith and infrastructure to enable faster, safer development with AI agents.

Drives enterprise sales pipeline and closes deals for SaaS real estate sustainability platform targeting commercial real estate owners. Requires 5-7+ years enterprise sales experience, SaaS expertise, and strong relationship-building with C-level executives.

Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.

Manages relationships with top-tier global enterprise customers on a Customer Data Platform, driving retention, expansion, adoption, and measurable business outcomes through tailored success plans and collaboration with internal teams. Requires 3+ years in SaaS customer success with data/martech experience.

Build a human-first AI copilot for live commerce sellers automating backstage operations like chat management, inventory control, and post-show workflows. Requires strong full-stack skills in real-time systems and GenAI products with retrieval and guardrails.