Top Tech Jobs & Startup Jobs in Boston, MA

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.

Conduct controlled small-molecule sensing experiments and characterize sensor performance, including response, stability, drift, reproducibility, recovery, and interference. Build and qualify experimental fixtures, prepare samples, follow protocols, document experimental conditions and results, review QC outputs, and identify environmental or hardware artifacts. The intern will also support automation, fixture improvements, AI-enabled research workflows, and reproducible data management.

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 scalable computational pipelines for biophysical modeling of neurons and neural populations. Apply machine learning and statistical inference to large-scale neural recordings, construct bio-realistic networks, and analyze complex time-series data. The role also involves shaping the technical roadmap, prototyping novel modeling approaches, and collaborating across neuroscience, experimental biology, and AI teams in an ambiguous R&D environment.

Build and deploy AI-powered tools and workflows for legal operations, including contract review, research, drafting, compliance, and knowledge management. Develop prompt frameworks, integrations, governance controls, quality procedures, and responsible-use policies. Evaluate vendors, assess technical and security risks, train legal teams, document workflows, track adoption and ROI, and collaborate with attorneys, IT, privacy, security, and business stakeholders.

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.

Lead the full lifecycle of data science models that predict and optimize advertising performance across channels. Define learning targets, build training data, develop forecasting and causal measurement systems, design experiments, validate models, and translate outputs into customer-facing recommendations. Partner with product, engineering, data, and customer teams to deploy models, assess uncertainty and drift, and demonstrate measurable business impact.

Lead the architecture, development, and scaling of backend services, APIs, distributed systems, data pipelines, agent clouds, and platform infrastructure. Build reliable third-party integrations, improve observability and security, shape engineering standards and CI/CD practices, and support DevOps and troubleshooting. Contribute to AI agent harness selection, prompt optimization, and evaluation systems while making architecture and operational decisions in a fast-paced startup environment.

Leads product safety and wellbeing strategy for AI-powered experiences. Owns safety roadmaps, guardrails, evaluation frameworks, benchmarks, metrics, monitoring, launch-readiness criteria, and human or automated evaluation programs. Assesses failure modes and emerging risks, including self-harm and crisis scenarios, and translates expert and user findings into product guidance. Partners with engineering, machine learning, product, design, and data science teams to improve risk detection, response generation, escalation, and user experience.