Top Tech Jobs & Startup Jobs

Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.

Own a high-volume portfolio of mid-market SaaS accounts, leading scalable onboarding, adoption, education, support, renewals, and upsell efforts. Use usage signals and standardized playbooks to prioritize accounts, manage risk, conduct business reviews, resolve issues, and identify customer trends. Build trusted relationships through efficient outreach while advocating for product and process improvements internally.

Drive growth by advising law firms and in-house legal teams on AI contracting solutions. Lead tailored product demonstrations, sales and onboarding calls, webinars, and events; guide customer implementation and workflow adoption; create contract playbooks from client agreements; collaborate with engineering and design teams to improve products; and synthesize customer feedback for sales and product strategy.

Provides middle-office operational support for trading desks, including trade-break resolution, reconciliations, corporate actions, locates, buy-ins, risk controls, and operational data integrity. Coordinates cross-functional projects, supports new strategies, and improves tools, workflows, dashboards, and controls. Requires broad understanding of the trade lifecycle across equities, futures, and options, strong analytical and communication skills, and experience with Excel and Bloomberg.

Build and scale production-grade AI/ML systems for quantitative research. Responsibilities include translating research prototypes into maintainable software, optimizing GPU training and inference pipelines, designing data-loading and batching infrastructure, extending research libraries for agentic workflows, and improving codebase quality, testing, and scalability. The role partners closely with machine learning researchers and requires strong Python engineering, GPU systems experience, and familiarity with modern ML frameworks and agent technologies.

Designs and maintains scalable distributed infrastructure across on-premise and public cloud environments. Evaluates emerging technologies and open-source tools, supports incident response and on-call operations, establishes platform engineering standards, and leads cross-functional initiatives from requirements through adoption. The role enables engineering and data science teams to operate research, simulation, and trading workloads efficiently and reliably.

Lead strategic finance initiatives including budgeting, forecasting, scenario analysis, capital planning, unit economics, KPI management, valuation, M&A evaluation, and financial modeling. Partner with executives and cross-functional teams to assess strategic investments, market expansion, pricing, and product economics. Present recommendations to executives and board members, support fundraising and investor communications, and develop financial frameworks and dashboards that guide company strategy.

Manages financial services regulatory compliance across consumer lending products, including advisory support, complaint and issue management, licensing, regulatory exams, and regulatory change monitoring. Partners with business units to identify compliance risks, develop mitigation strategies, remediate issues, maintain licenses, prepare reports, and promote a strong compliance culture.

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Own and scale paid social and premium video channels, including strategy, media buying, optimization, budgeting, creative testing, and incrementality measurement. Build AI-powered workflows for campaign execution, QA, pacing, reporting, and insights. Partner with creative, agency, and product marketing teams while turning performance data into channel and budget decisions. This is a senior individual contributor role requiring extensive paid social, OLV/CTV, data measurement, and AI automation experience.

Lead data science for SEO and AEO-driven patient growth. Develop measurement and experimentation strategies, combine internal and external data sources, evaluate causal impact, answer product and business questions, and automate analysis using AI agents and workflows. Partner with product, marketing, engineering, content, and design to improve organic search and AI visibility. Establish measurement standards and communicate insights, limitations, and recommendations to executives and cross-functional teams.

Lead and grow the engineering team responsible for referral, payer, phone, and emerging patient acquisition channels. Launch new channels from zero to one, build AI-enabled referral and booking experiences, develop partner integrations, and drive measurable patient growth. Partner with product, data science, operations, health systems, and insurers while hiring, coaching, and setting engineering standards.

Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.

Design, build, and deploy scalable Java microservices within an AWS cloud-native platform. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Lead complex backend features, improve engineering practices with AI tools, support observability and reliability goals, and participate in on-call rotations. Mentor engineers and help drive technical simplification across distributed, event-driven systems.

Deliver customer-facing technical solutions integrating monday.com into enterprise technology stacks. Responsibilities include requirements discovery, custom application and agentic AI development, data migration, integrations, technical consulting, production deployment, documentation, and customer enablement. The role also contributes to internal Services tooling and reusable components while collaborating with Product, R&D, account, and deployment teams. This hybrid Denver position requires up to 20% travel and focuses on independently managing complex technical engagements.

Provides on-site and remote Tier 1 and Tier 2 IT support at Somerville headquarters. Troubleshoots endpoints, software, networks, office hardware, and A/V equipment; manages SaaS accounts, permissions, onboarding, and offboarding; maintains IT asset inventory and device lifecycles; and creates documentation, knowledge-base articles, and runbooks. The role also identifies root causes, resolves recurring issues systemically, and supports access reviews and IT security practices.

Lead the architecture and delivery of an agent-native app-building product while managing and mentoring a team of 3–5 engineers. Establish engineering standards for testing, observability, and AI-driven development; partner with infrastructure and product teams; and build scalable SaaS and agentic AI systems involving orchestration, context management, retrieval, vector stores, tool invocation, and evaluations.

Leads a software engineering team responsible for Tulip’s no-code application authoring, runtime, governance, backend services, and agentic AI integrations. The role owns delivery, technical direction, architecture, operational health, testing, deployment, incident response, and technical debt reduction. Responsibilities include hiring, mentoring, developing engineers, establishing engineering standards, promoting AI-first development, and collaborating with product, design, infrastructure, operations, QA, and customer teams.

Lead techno-functional ERP integration strategy and architecture for Navan Expense and customer ERP ecosystems. Design scalable EAI/ETL solutions using middleware, APIs, cloud platforms, and modern integration patterns. Analyze functional gaps, define integration roadmaps and governance, ensure security and data alignment, guide implementation teams and consultants, and monitor performance, error handling, and recovery. Collaborate with consultants, managers, executives, and technical teams to deliver effective financial, supply chain, and HR system integrations.

Lead techno-functional ERP integration strategy and design for Navan Expense and customer systems. Responsibilities include solution architecture, functional gap analysis, middleware and API selection, integration governance, security assurance, performance monitoring, error recovery, and guidance for implementation teams and consultants. The role requires deep ERP expertise across financial, supply chain, and HR functions, along with the ability to translate complex business and technical requirements for executives and delivery teams.

Lead techno-functional ERP integration strategy and architecture for Navan Expense implementations. Design scalable EAI/ETL solutions using middleware, APIs, cloud platforms, and modern integration patterns. Analyze functional gaps, define integration roadmaps, ensure security and data governance, guide implementation teams and consultants, monitor performance, and implement error recovery. Translate business requirements into technical specifications while collaborating with executives and cross-functional stakeholders across finance, supply chain, and HR.