Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.
Develops technical messaging and go-to-market strategies for Anaconda's AI-native data science platform, translating infrastructure capabilities into value propositions for data scientists and AI builders. Requires 3-6+ years in product marketing or related technical roles with deep Python/AI expertise.
Leads development of Basis Academy, creating scalable digital learning paths, certifications, and content operations for accountants using AI agents in Tax, Audit, and Advisory. Requires 4+ years in customer education at SaaS/AI companies and in-office NYC work.
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.
Generates high-quality pipeline through high-volume outbound prospecting into enterprise accounts using cold calling, emailing, and social selling. Requires 6+ months SaaS sales experience, scrappy startup mindset, and resilience in a fast-paced environment.
Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.
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.
Leads fraud model retro-as-a-service and POC programs, partnering with customers to demonstrate ROI of fraud products and drive adoption. Collaborates between data teams and customers, interpreting ML outputs for technical and non-technical audiences; requires 5-10 years in customer-facing fintech analytics.
Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.
Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.
Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.
Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.
Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.
Lead business development efforts to identify, evaluate, and source early-stage biotech and pharmaceutical assets for tech-enabled drug development. Requires strong scientific background (PhD/MD preferred) plus 3-7 years experience in BD, VC, or consulting.
Software Engineer building production systems at an AI-native pharma company to accelerate drug development across clinical, regulatory, and operations domains.
Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.
Builds and scales search/retrieval infrastructure powering AI agents, including indexing, querying, ranking, and entity extraction from diverse data sources like transcripts and signals. Requires 5+ years in production retrieval systems with hybrid search and evaluation expertise.
Builds end-to-end customer-facing experiences for AI agents, from Python/FastAPI backends and workflows to React/TypeScript UIs. Architects product platform, prototypes AI interactions, ensures scalability; requires 5+ years full-stack experience with AI products.
Builds and scales data pipelines and infrastructure powering real-time AI agents, handling ingestion from CRM, transcripts, and signals into clean representations. Requires 5+ years in data systems, proficiency in Python/SQL/DBT/warehouse tech, and real-time streaming experience.
Works directly with founders on tactical and strategic projects including board prep, OKRs, partnerships, and operational improvements. Requires 1-3 years experience in PE/banking/consulting/startups, strong problem-solving, and onsite work in NYC.
Builds and leads finance function for growth-stage AI startup, partnering with founders on strategy, planning, fundraising, and ROI-driven investments. Requires early-stage startup finance experience, IB/PE background, and familiarity with AI economics.
Supports the co-founder by accelerating responsibilities across sales, marketing, product, engineering, and more. Executes strategic initiatives tactically while defining long-term goals in a high-growth AI startup. Requires entrepreneurial mindset and onsite presence in NYC.
Owns full-cycle enterprise sales for AI-powered revenue platform, managing $150K+ deals with C-level execs via outbound prospecting, multi-threading, POCs, and value-based selling. Requires 6+ years SaaS experience exceeding $1M quotas in complex deals.
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.
Leads full-cycle sales for $400K+ enterprise deals with AI revenue platform, owning outbound pipeline, multi-threading C-suite relationships, and POC engagements. Requires 8+ years SaaS sales experience exceeding $1M quotas and strategic thinking.
Leads full-cycle sales for $500K+ enterprise deals targeting GTM organizations, owning multi-threaded cycles with C-suite executives, POCs, and strategic account plans. Requires 8+ years SaaS sales experience exceeding $1M quotas and familiarity with enterprise methodologies like MEDDPICC.
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.
Oversees compensation accounting including payroll, bonuses, and taxes; leads financial close, ensures US GAAP compliance, manages audits, and drives process improvements in a high-growth environment. Requires 7-10+ years experience, CPA, and Big Four background.
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 engineering team building classification and scoping systems for property estimates platform, integrating 3D data and external partners. Requires 5+ years hands-on engineering and 2+ years managing teams, with platform systems experience.
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.
Leads product strategy and development for AI-powered insurance claims platform, co-building with enterprise carriers and adjusters. Requires 7+ years PM experience in B2B/enterprise software, comfort with AI/ML, and strong customer collaboration skills.
Leads core product engineering team owning roadmap execution, architecture decisions, and cross-functional partnerships to deliver reliable AI systems for healthcare. Requires 6+ years managing engineers with hands-on experience in modern web/cloud stacks.
Leads development of internal AI agent infrastructure ("Goose") to boost velocity across engineering, ops, and other teams. Builds safe, autonomous agent workflows for codebase inspection, testing, and complex tasks with strong focus on safety and accuracy.
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.
Leads cross-functional security, compliance, and infrastructure programs for the Security Operations team, managing risks, dependencies, and alignment across business and technology teams. Requires 5+ years TPM experience in cloud/SaaS security environments and strong grasp of security principles.
Builds and operates production forecasting systems for revenue, bookings, and financial metrics in a consumption-based SaaS business. Requires 5+ years experience with statistical/ML models, Python/SQL proficiency, and cross-functional collaboration for accurate, explainable forecasts.
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.
Builds and maintains scalable marketplace middleware using C#/.NET, event-driven systems like Kafka, and CQRS patterns. Collaborates with stakeholders on fintech solutions requiring 4+ years experience and bachelor's degree.
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.
Leads design and evolution of core trading, research, and simulation infrastructure, building scalable low-latency systems in Linux with C++/Python. Requires 6+ years experience in high-performance trading systems and collaboration with quant researchers.
Develops high-performance C++ systems for trading simulations, backtesting, data pipelines, and low-latency execution. Collaborates with quants and traders; requires 2+ years C++ experience with strong algorithms and concurrency knowledge.
Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.
Designs and develops ultra-low-latency high-frequency trading infrastructure in C++ and Linux. Optimizes performance across hardware/software layers and collaborates with quants for trading systems impact.
Generates qualified sales pipeline through outbound prospecting, inbound follow-ups, cold calling, and events for a GenAI SaaS platform. Requires 2+ years BDR/SDR experience, strong pipeline sourcing track record, and ability to translate technical AI concepts into business value.
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 FinOps initiatives to monitor, forecast, and optimize engineering spend on cloud, AI/ML, data, and SaaS across engineering teams. Partners cross-functionally to embed cost awareness into roadmaps and drive efficiency without hindering velocity. Requires 6+ years at engineering-finance intersection and SQL proficiency.
Leads operations team managing R&D testing, commercial launches, and global expansion for autonomous vehicle technology. Requires 10+ years scaling distributed field operations with analytical and safety focus.
Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.
Develops technical messaging and go-to-market strategies for Anaconda's AI-native data science platform, translating infrastructure capabilities into value propositions for data scientists and AI builders. Requires 3-6+ years in product marketing or related technical roles with deep Python/AI expertise.
Leads development of Basis Academy, creating scalable digital learning paths, certifications, and content operations for accountants using AI agents in Tax, Audit, and Advisory. Requires 4+ years in customer education at SaaS/AI companies and in-office NYC work.
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.
Generates high-quality pipeline through high-volume outbound prospecting into enterprise accounts using cold calling, emailing, and social selling. Requires 6+ months SaaS sales experience, scrappy startup mindset, and resilience in a fast-paced environment.
Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.
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.
Leads fraud model retro-as-a-service and POC programs, partnering with customers to demonstrate ROI of fraud products and drive adoption. Collaborates between data teams and customers, interpreting ML outputs for technical and non-technical audiences; requires 5-10 years in customer-facing fintech analytics.
Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.
Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.
Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.
Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.
Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.
Lead business development efforts to identify, evaluate, and source early-stage biotech and pharmaceutical assets for tech-enabled drug development. Requires strong scientific background (PhD/MD preferred) plus 3-7 years experience in BD, VC, or consulting.
Software Engineer building production systems at an AI-native pharma company to accelerate drug development across clinical, regulatory, and operations domains.
Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.
Builds and scales search/retrieval infrastructure powering AI agents, including indexing, querying, ranking, and entity extraction from diverse data sources like transcripts and signals. Requires 5+ years in production retrieval systems with hybrid search and evaluation expertise.
Builds end-to-end customer-facing experiences for AI agents, from Python/FastAPI backends and workflows to React/TypeScript UIs. Architects product platform, prototypes AI interactions, ensures scalability; requires 5+ years full-stack experience with AI products.
Builds and scales data pipelines and infrastructure powering real-time AI agents, handling ingestion from CRM, transcripts, and signals into clean representations. Requires 5+ years in data systems, proficiency in Python/SQL/DBT/warehouse tech, and real-time streaming experience.
Works directly with founders on tactical and strategic projects including board prep, OKRs, partnerships, and operational improvements. Requires 1-3 years experience in PE/banking/consulting/startups, strong problem-solving, and onsite work in NYC.
Builds and leads finance function for growth-stage AI startup, partnering with founders on strategy, planning, fundraising, and ROI-driven investments. Requires early-stage startup finance experience, IB/PE background, and familiarity with AI economics.
Supports the co-founder by accelerating responsibilities across sales, marketing, product, engineering, and more. Executes strategic initiatives tactically while defining long-term goals in a high-growth AI startup. Requires entrepreneurial mindset and onsite presence in NYC.
Owns full-cycle enterprise sales for AI-powered revenue platform, managing $150K+ deals with C-level execs via outbound prospecting, multi-threading, POCs, and value-based selling. Requires 6+ years SaaS experience exceeding $1M quotas in complex deals.
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.
Leads full-cycle sales for $400K+ enterprise deals with AI revenue platform, owning outbound pipeline, multi-threading C-suite relationships, and POC engagements. Requires 8+ years SaaS sales experience exceeding $1M quotas and strategic thinking.
Leads full-cycle sales for $500K+ enterprise deals targeting GTM organizations, owning multi-threaded cycles with C-suite executives, POCs, and strategic account plans. Requires 8+ years SaaS sales experience exceeding $1M quotas and familiarity with enterprise methodologies like MEDDPICC.
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.
Oversees compensation accounting including payroll, bonuses, and taxes; leads financial close, ensures US GAAP compliance, manages audits, and drives process improvements in a high-growth environment. Requires 7-10+ years experience, CPA, and Big Four background.
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 engineering team building classification and scoping systems for property estimates platform, integrating 3D data and external partners. Requires 5+ years hands-on engineering and 2+ years managing teams, with platform systems experience.
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.
Leads product strategy and development for AI-powered insurance claims platform, co-building with enterprise carriers and adjusters. Requires 7+ years PM experience in B2B/enterprise software, comfort with AI/ML, and strong customer collaboration skills.
Leads core product engineering team owning roadmap execution, architecture decisions, and cross-functional partnerships to deliver reliable AI systems for healthcare. Requires 6+ years managing engineers with hands-on experience in modern web/cloud stacks.
Leads development of internal AI agent infrastructure ("Goose") to boost velocity across engineering, ops, and other teams. Builds safe, autonomous agent workflows for codebase inspection, testing, and complex tasks with strong focus on safety and accuracy.
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.
Leads cross-functional security, compliance, and infrastructure programs for the Security Operations team, managing risks, dependencies, and alignment across business and technology teams. Requires 5+ years TPM experience in cloud/SaaS security environments and strong grasp of security principles.
Builds and operates production forecasting systems for revenue, bookings, and financial metrics in a consumption-based SaaS business. Requires 5+ years experience with statistical/ML models, Python/SQL proficiency, and cross-functional collaboration for accurate, explainable forecasts.
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.
Builds and maintains scalable marketplace middleware using C#/.NET, event-driven systems like Kafka, and CQRS patterns. Collaborates with stakeholders on fintech solutions requiring 4+ years experience and bachelor's degree.
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.
Leads design and evolution of core trading, research, and simulation infrastructure, building scalable low-latency systems in Linux with C++/Python. Requires 6+ years experience in high-performance trading systems and collaboration with quant researchers.
Develops high-performance C++ systems for trading simulations, backtesting, data pipelines, and low-latency execution. Collaborates with quants and traders; requires 2+ years C++ experience with strong algorithms and concurrency knowledge.
Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.
Designs and develops ultra-low-latency high-frequency trading infrastructure in C++ and Linux. Optimizes performance across hardware/software layers and collaborates with quants for trading systems impact.
Generates qualified sales pipeline through outbound prospecting, inbound follow-ups, cold calling, and events for a GenAI SaaS platform. Requires 2+ years BDR/SDR experience, strong pipeline sourcing track record, and ability to translate technical AI concepts into business value.
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 FinOps initiatives to monitor, forecast, and optimize engineering spend on cloud, AI/ML, data, and SaaS across engineering teams. Partners cross-functionally to embed cost awareness into roadmaps and drive efficiency without hindering velocity. Requires 6+ years at engineering-finance intersection and SQL proficiency.
Leads operations team managing R&D testing, commercial launches, and global expansion for autonomous vehicle technology. Requires 10+ years scaling distributed field operations with analytical and safety focus.