Top Tech Jobs & Startup Jobs

The Acquisitions Associate supports private equity, growth equity, and structured credit investments throughout the investment lifecycle. Responsibilities include researching markets and targets, building financial models and transaction scenarios, preparing investment memoranda, coordinating due diligence, and monitoring portfolio companies while working with senior investors and management teams.

Supports growth equity investment activities across the deal lifecycle, including researching market themes, evaluating technology companies, building financial models and valuations, preparing investment memoranda, coordinating due diligence, and monitoring portfolio companies. The role partners with senior investors, advisors, consultants, management teams, and internal firm stakeholders.

Leads client service and business operations for Financial Advisor and Private Wealth Advisor teams. Defines service models, oversees support professionals, coordinates business matters, supports client relationships, prepares reports and financial plans, manages communications, tracks performance, assists with hiring and training, and executes business plans and firm initiatives. Requires extensive financial services experience, leadership, client service expertise, and active securities licenses.

Manage the LMS and training records, schedule and coordinate training sessions, generate training reports, support employees with LMS access, and coordinate projects ensuring compliance, risk management, and timely close-out.

Establishes and leads cloud engineering capabilities, initially on Microsoft Azure and later AWS. Designs cloud foundations, networking, identity, governance, automation, analytics infrastructure, monitoring, recovery, and cost controls. Develops infrastructure as code and migration strategies, supports production operations, partners across security and infrastructure teams, and builds the cloud engineering team through hiring, coaching, and technical leadership.

Support EXIM’s implementation, administration, configuration, testing, and ongoing operation of the GO.gov federal travel management system. Troubleshoot workflows, user profiles, approvals, vouchers, and system defects; coordinate with GSA, IBM, and agency stakeholders; manage tickets and issue tracking; support the transition from Concur; develop documentation and training; and provide project reporting, testing, and change-management assistance.

Owns the design, development, evaluation, launch, and operation of customer-facing AI agents for support, lending, sales, and ordering. Builds production LLM agents with tool use, retrieval, workflows, safety guardrails, monitoring, and human handoffs. Integrates agents with business systems, develops evaluation suites from real-world data, measures business outcomes, and mentors engineers while partnering with nontechnical business owners.

Supports AI teams by curating large-scale image and video datasets, managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role focuses on foundational AI/ML lifecycle tasks and offers growth toward applied modeling or MLOps.

Assess and modernize an FDA-regulated SaaS platform by defining target architecture, bounded contexts, integration pipelines, database strategies, and a phased refactoring roadmap. Lead a small mixed-technology team, address technical debt, improve CI/CD and testing, establish engineering standards, ensure security and regulatory compliance, and mentor engineers through design reviews and documentation.

Drive new-logo and existing-account sales for business intelligence software. Responsibilities include prospecting, lead generation, solution selling, executive engagement, product demonstrations, deal negotiation and closing, pipeline management, partner development, market feedback, CRM reporting, and collaboration with sales engineering and customer success teams.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Implement, configure, and support Workday Supply Chain Management modules; analyze processes, recommend improvements, and support testing, deployment, and enhancements.

Implement and configure Workday Quote-to-Cash processes including quoting, contracts, billing, revenue recognition, integrations with Financials and PSA, testing, and post-implementation support.

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.