Top Tech Jobs & Startup Jobs in Boston, MA

Coordinates and implements integrated U.S. retail marketing campaigns supporting wealth and asset management sales efforts. Develops marketing plans, communication materials, presentations, budgets, and campaign processes across digital, print, email, web, and direct mail channels. Collaborates with sales, product, legal, compliance, and external partners; monitors competitor activity and market conditions; tracks ROI and evaluates campaign effectiveness using analytics.

Two-year rotational HR program for early-career talent, providing experience across HR business partnering, people analytics, DEI, learning, talent management, recruiting, and total rewards. Responsibilities include supporting global HR initiatives, analyzing workforce data and trends, contributing to workforce planning and talent projects, and developing solutions that improve employee experience. Participants receive mentorship, training, coaching, and leadership exposure.

Leads and evolves a global employee wellbeing strategy, overseeing program design, governance, budgets, analytics, communications, vendor relationships, compliance, and continuous improvement. Partners with HR, benefits, talent, business, and regional stakeholders to improve workforce wellbeing, engagement, productivity, resilience, and employee experience. The role also leads a wellbeing team, presents recommendations to executives, and manages complex global initiatives in a matrixed environment.

Develop and deploy production-grade AI, machine learning, and generative AI solutions for insurance business challenges. Responsibilities include building LLM applications, prompt engineering, RAG workflows, data pipelines, experiments, proof-of-concepts, and scalable AI systems. The role involves monitoring model performance, generating business insights, collaborating with stakeholders, and communicating technical findings to diverse audiences.

Two-year rotational technology program for early-career talent, with placements in areas such as full-stack software engineering and data engineering. Responsibilities include designing and developing APIs, microservices, and applications; analyzing requirements; writing unit tests; debugging; defect management; system integration; and documenting changes. Participants receive structured training, mentorship, leadership exposure, and experience with modern development tools and technologies.

Prepares client financial statements, reports, advisory fee calculations, investment performance returns, journal entries, reconciliations, and general ledger analyses. Manages cash requirements, distributions, capital contributions, audits, tax filings, and accounting research. Responds to investor inquiries and supports compliance with US GAAP, tax, REIT, FASB, and GIPS requirements while contributing to process improvements and financial governance.

Designs and operationalizes scalable machine learning platforms, pipelines, infrastructure, and production models. Develops MLOps and LLMOps solutions, including generative AI, prompt engineering, RAG, LLM fine-tuning, and computer vision applications. Collaborates with data scientists, engineers, architects, and cross-functional teams to optimize models and integrate them into enterprise systems. Applies hybrid ML and rule-based systems in regulated insurance environments, mentors colleagues, and supports Agile delivery.

Develop and maintain scalable data pipelines, backend services, microservices, and machine learning workflows supporting underwriting and analytics. Deploy, monitor, and troubleshoot production ML systems, conduct root-cause analysis, support releases and batch processing, and collaborate with data scientists, underwriters, and engineers to deliver technical solutions.

Support the full operational lifecycle of private market investments, including capital calls, distributions, subscriptions, funding, cash movements, reconciliations, reporting, valuation, and performance analysis. Ensure transaction accuracy, regulatory compliance, risk controls, and data quality while investigating exceptions. Partner with investment teams, administrators, custodians, finance teams, and external managers. Lead process improvements and system enhancements, maintain procedures, and provide subject matter expertise to junior staff.

Research and analyze business processes, workflows, and improvement opportunities for new business and underwriting technology platforms. Gather and document requirements, develop system maps, user stories, acceptance criteria, test plans, and recommendations. Coordinate process changes and system enhancements while facilitating design sessions and supporting product, performance, and user acceptance testing. Collaborate with technical and non-technical stakeholders to align solutions with business strategies.