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.
Lead product strategy and AI-driven solutions for major drug development domains like clinical trials and regulatory submissions. Own outcomes for cross-functional teams of engineers, data scientists, and PMs while embedding with clinical and regulatory leaders.
Designs and oversees electrical systems for large-scale power projects including substations, transformers, and high-voltage cabling. Ensures regulatory compliance, manages procurement and installation, with Bachelor's in Electrical Engineering required and power industry experience preferred.
Deliver high-touch support for Fora X advisors, handling escalations, metrics, and process improvements in a fast-paced tech environment. Requires 3-5 years support/ops experience and strong communication skills.
Build and evolve large-scale CI infrastructure for Snowflake's developer platform, ensuring high performance and productivity for engineering teams. Requires 5+ years in distributed systems, CI experience, and fluency in Java/C++/Python/Go.
Visual design intern creates marketing assets like websites, social media, decks, and campaigns for an AI startup. Works onsite in NYC with founding team, requires strong Figma/Adobe portfolio and visual design skills.
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.
Leads global sales strategy for AI solutions in oil & gas, building pipeline, closing multimillion-dollar deals with energy majors, and managing executive relationships. Requires 20+ years enterprise sales experience in energy and expertise in AI/ML platforms.
Senior Product Designer leading end-to-end design for a two-sided mobile and web platform connecting users with IRL communities. Own system design, visual craft, and user research in a fast-paced NYC office environment.
Founding Customer Success Lead building and leading the CS function, managing enterprise accounts to drive adoption, expansion, and renewals while hiring and developing a team. Requires experience owning high-value accounts and strong commercial instincts; full-time in-office NYC.
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 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.
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.
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.
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.
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.
Acts as the founder's right hand, driving cross-functional projects, strategic initiatives like M&A and financial planning, and internal operations in a high-intensity AI startup environment. Requires 0-4 years experience, high agency, curiosity, and polish from consulting, banking, or startup backgrounds.
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.
Leads architecture and strategy for deploying optimized NLP models in high-throughput, low-latency production environments using Kubernetes and cloud platforms. Mentors engineers and designs custom customer deployments with 8+ years infrastructure experience.
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.
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.
Proactively engages small business customers via outbound outreach, product demos, and feedback synthesis to maximize platform value. Leads cross-functional projects, leverages AI for efficiency, and advocates for product improvements in a dynamic environment.
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.
Designs and builds core services for the Policy Engine, owning system architecture, tradeoffs in accuracy/consistency/latency, and internal APIs. Requires 6+ years building non-trivial distributed systems with strong engineering judgment.
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.
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.
Lead product strategy and AI-driven solutions for major drug development domains like clinical trials and regulatory submissions. Own outcomes for cross-functional teams of engineers, data scientists, and PMs while embedding with clinical and regulatory leaders.
Designs and oversees electrical systems for large-scale power projects including substations, transformers, and high-voltage cabling. Ensures regulatory compliance, manages procurement and installation, with Bachelor's in Electrical Engineering required and power industry experience preferred.
Deliver high-touch support for Fora X advisors, handling escalations, metrics, and process improvements in a fast-paced tech environment. Requires 3-5 years support/ops experience and strong communication skills.
Build and evolve large-scale CI infrastructure for Snowflake's developer platform, ensuring high performance and productivity for engineering teams. Requires 5+ years in distributed systems, CI experience, and fluency in Java/C++/Python/Go.
Visual design intern creates marketing assets like websites, social media, decks, and campaigns for an AI startup. Works onsite in NYC with founding team, requires strong Figma/Adobe portfolio and visual design skills.
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.
Leads global sales strategy for AI solutions in oil & gas, building pipeline, closing multimillion-dollar deals with energy majors, and managing executive relationships. Requires 20+ years enterprise sales experience in energy and expertise in AI/ML platforms.
Senior Product Designer leading end-to-end design for a two-sided mobile and web platform connecting users with IRL communities. Own system design, visual craft, and user research in a fast-paced NYC office environment.
Founding Customer Success Lead building and leading the CS function, managing enterprise accounts to drive adoption, expansion, and renewals while hiring and developing a team. Requires experience owning high-value accounts and strong commercial instincts; full-time in-office NYC.
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 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.
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.
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.
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.
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.
Acts as the founder's right hand, driving cross-functional projects, strategic initiatives like M&A and financial planning, and internal operations in a high-intensity AI startup environment. Requires 0-4 years experience, high agency, curiosity, and polish from consulting, banking, or startup backgrounds.
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.
Leads architecture and strategy for deploying optimized NLP models in high-throughput, low-latency production environments using Kubernetes and cloud platforms. Mentors engineers and designs custom customer deployments with 8+ years infrastructure experience.
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.
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.
Proactively engages small business customers via outbound outreach, product demos, and feedback synthesis to maximize platform value. Leads cross-functional projects, leverages AI for efficiency, and advocates for product improvements in a dynamic environment.
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.
Designs and builds core services for the Policy Engine, owning system architecture, tradeoffs in accuracy/consistency/latency, and internal APIs. Requires 6+ years building non-trivial distributed systems with strong engineering judgment.
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.