Top Tech Jobs & Startup Jobs in Boston, MA

Lead product strategy and execution for Iris Chat, an AI-powered psychological fitness product. Own product vision, customer journeys, activation, retention, conversion, subscription value, experimentation, and AI quality. Manage product, design, engineering, and AI research teams; hire and develop leaders; balance research and delivery; and establish standards for evaluation, privacy, safety, reliability, and user trust. Partner with leadership to build a focused roadmap and durable consumer business.

Develop evolutionary algorithms for autonomous scientific discovery, enabling populations of models, hypotheses, programs, and representations to evolve through iterative search, selection, evaluation, and recombination. Build Bayesian and probabilistic methods for candidate ranking, uncertainty estimation, diversity preservation, and quality measurement. Establish benchmarks, integrate algorithms into autonomous-science pipelines, publish research, guide technical direction, and mentor colleagues as a senior individual contributor.

Lead full‑stack development of customer‑facing features, own product lifecycle from design to release, build scalable AI‑enabled back‑end systems on AWS, improve CI/CD and testing, collaborate with product, design, and ML researchers, and ensure security and privacy best practices.

Own international accounting, compliance, financial close, statutory reporting, audits, tax filings, consolidations, and intercompany transactions for multiple subsidiaries. Manage outsourced providers, support UK equity compensation and international billing, coordinate new entity setup, and oversee financial reporting for a government contracting entity. Partner with Legal, HR, Treasury, Tax, Compensation, portfolio companies, auditors, and government-contracting advisors across jurisdictions.

Leads the design, implementation, and optimization of cloud-native data infrastructure, platforms, storage solutions, and complex data pipelines. Establishes engineering standards for testing, monitoring, releases, and reliability; troubleshoots cross-system failures and leads incident reviews. Partners with infrastructure, laboratory IT, data science, bioinformatics, and scientific teams to deliver secure, scalable solutions. Mentors engineers, guides technical initiatives, and uses generative AI to accelerate development and data transformation.

Build and operationalize Flagship Pioneering’s compliance program for government contracts, grants, fund operations, and international activities. Responsibilities include developing policies, controls, training, monitoring, reporting, remediation, regulatory assessments, investor and conflicts compliance, escalation processes, and global standards. The role partners with Finance, Contracts, outside advisors, and portfolio companies while transitioning compliance capabilities in-house and applying AI legal tools to improve efficiency.

Develop and execute internal communications strategies across Flagship’s ecosystem of 40+ companies. Create content for intranet, newsletters, email, messaging platforms, digital signage, executive communications, and events. Manage editorial calendars, campaigns, governance, and communication analytics while partnering with leadership, HR, and functional teams. Support employee engagement, onboarding, culture-building, change management, and crisis communications through clear, compelling storytelling and strategic guidance.

Transactions Counsel supporting venture financings, capital markets, M&A, corporate governance, equity issuances, partnerships, and other complex transactions across Flagship’s portfolio companies. Responsibilities include drafting and negotiating transaction documents, conducting legal research, advising finance and portfolio teams, managing outside counsel, supporting compliance, standardizing legal processes, and driving multiple high-volume deals to completion.

The Operating Principal will lead operations and strategy in biotech firms, focusing on corporate development, team management, and aligning scientific goals with business objectives.

Lead the scientific direction and machine learning development for climate modeling. Manage model training, evaluation, and collaboration across teams to develop predictive systems based on hydrology and climate data.