Top Tech Jobs & Startup Jobs in Boston, MA

Leads enterprise AI, data, application, and product strategy; oversees AI adoption, governance, architecture, software development, enterprise applications, and data strategy. Partners with executives to prioritize technology investments, deliver measurable business outcomes, establish standards, manage portfolios, and guide organizational change. Leads teams through coaching, hiring, budgeting, performance management, and workforce planning.

Own strategic enterprise customer relationships from onboarding through growth, ensuring platform performance, alignment, retention, and expansion. Build executive stakeholder relationships, lead discovery and change-management sessions, resolve issues cross-functionally, create long-term growth plans, conduct business reviews, identify upsell and cross-sell opportunities, and collaborate with Product, Marketing, Sales, Implementation, and Risk teams. Travel approximately 30% and host executive customer engagements.

Leads UDig’s Strategy and Design practice, shaping client business and product strategy, experience strategy, research, and design delivery. The role oversees key accounts, develops a large distributed team, grows offerings and client relationships, and establishes AI-first methods. Responsibilities include executive client engagement, product roadmaps, operating model modernization, quality oversight, hiring and coaching, utilization management, proposals, pricing, pitches, and practice reputation-building. Regular client travel is expected.

Drive client adoption, implementation, and delivery of Shibumi SaaS solutions. Configure applications to meet business requirements, translate client artifacts into solution structures, coach and train customers and partners, support pre-sales demonstrations and RFX responses, and manage multiple engagements. Use AI tools responsibly for analysis and productivity while protecting confidential client data.

Own and evolve WorkOS’s internal data platform, including ingestion, orchestration, Snowflake, dbt models, data governance, reverse ETL, semantic views, and AI-enabled data workflows. Ensure pipeline reliability, freshness, security, and scalability while partnering with Product, Finance, RevOps, GTM, Engineering, and Security. Build monitoring, runbooks, CI/CD gates, access controls, masking policies, and infrastructure automation across AWS and Kubernetes.

Coordinate and confirm appointments between clients and security professionals; answer calls, emails, and messages; manage scheduling software and availability; send reminders and follow-ups; maintain accurate records; protect confidential client information; provide professional customer service.

Lead architecture and reliability for a high-scale alerting platform. Design rule-based, ML-driven, and correlated detection systems; own Kafka-based event delivery, webhook reliability, idempotency, and sustained-load performance. Transform security and network telemetry into topology and dependency models that support LLM-assisted investigation and remediation. Provide cross-team technical leadership, mentor engineers, and guide long-term platform strategy across multiple alerting teams.

Executive leader overseeing account management, strategic client relationships, renewals, retention, expansion, and net revenue retention. Leads account managers, establishes performance standards and KPIs, manages executive escalations, negotiates contracts, develops strategic account plans, and partners with Sales, Product, Marketing, Clinical, and Operations teams. The role drives client satisfaction, revenue growth, risk mitigation, and service delivery while presenting outcomes to senior leadership. Regional travel of 30%–35% is required.

Leads large-scale enterprise application development, modernization, and sustainment programs. Oversees Agile teams, program governance, schedules, budgets, risks, resources, stakeholder communications, cloud modernization, DevSecOps, AI, user adoption, and cybersecurity compliance. The role coordinates technical and business stakeholders, manages Appian and Google Cloud initiatives, drives continuous improvement, and ensures delivery quality, security, performance, and alignment with government objectives.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.