Top AI Jobs in Boston, MA

Leads enterprise sales and strategic customer relationships across utilities, power distribution, infrastructure, and data centers. Develops new business, manages pipelines, leads proposals and onboarding, and partners with operations, product, marketing, and leadership teams. Advises customers on workforce, contractor, outage, maintenance, and project needs while shaping go-to-market strategies and scalable sector processes. Mentors account team members and provides market insights to improve offerings and growth.

Supports cross-functional technology and associate-experience initiatives through project planning, business process analysis, stakeholder meetings, data analysis, and solution development. Explores technology and AI applications to improve business innovation and operational effectiveness. Participates in mentoring, leadership development, networking, community service, and presenting project work to company leaders.

Future Business Development Representative opportunities at Mirakl involve researching enterprise prospects, identifying decision-makers, crafting targeted outreach, and partnering with Enterprise Account Executives on prospecting strategies. Representatives share outbound best practices, use AI to improve efficiency and commercial insight, and develop foundations for advancement into sales or other departments. Candidates should have strong communication and presentation skills, a growth mindset, and willingness to work onsite four days weekly in Boston. This is a talent-pool posting, not an active opening.

Supports roadmap development and product enhancement for investing and wealth management solutions. Owns the backlog for assigned workstreams, writes requirements and user stories, prioritizes features, and partners with Engineering, Design, Compliance, Operations, and VOS teams. Translates back-office workflows into internal efficiency tools, participates in agile ceremonies, tracks product performance, and supports compliant, user-centered delivery using AI responsibly.

Lead the strategy, roadmap, and development of an agentic marketing product for home service businesses. Manage a cross-functional product, design, and engineering pod; conduct user research; define and ship features; drive adoption; measure performance through analytics and experiments; and communicate progress across the organization. The role reports to the CPO and contributes to broader product strategy in a fast-growing startup environment.

Own global compensation cycle administration, system configuration, benchmarking, job architecture, salary structures, pay reporting, equity support, and compensation analysis across the Americas, EMEA, and APAC. Partner with HR, recruiting, payroll, legal, finance, and managers on offers, promotions, pay equity, and transparency requirements. Improve compensation operations through AI and automation, maintain data integrity, and deliver training and communications on compensation programs.

Own Tulip’s revenue data architecture and strategy, using SQL, BI, and AI to improve account targeting, pricing, forecasting, retention, and expansion. Build health scores, churn and upsell models, renewal pricing strategies, and executive-level NRR/GRR reporting. Partner closely with Sales, Customer Success, Services, Support, Finance, Product, and executive leadership while mentoring analysts and commercial teams on data-driven decision-making.

Defines long-term software architecture and technical strategy for Bose’s automotive technology portfolio. Designs scalable, modular, configurable platforms that operate across automotive hardware, operating systems, customers, and product generations. Partners with audio, acoustics, signal processing, and AI/ML teams to productionize advanced capabilities, engages OEMs and ecosystem partners, leads complex architecture decisions, resolves technical challenges, and mentors senior engineers and architects.

Leads strategic business development and enterprise software sales for electric utility and AEC customers. Develops account strategies, identifies and closes opportunities, builds executive relationships, manages complex negotiations, forms strategic partnerships, and collaborates with marketing, product, and customer success teams. The role focuses on substation design, utility planning, AI-enabled engineering workflows, digital twins, and infrastructure modernization, with 30–50% travel across North America.

Lead GitLab’s talent brand strategy and employer value proposition across the candidate journey. Develop integrated recruitment marketing campaigns, editorial content, recruiter resources, events, and scalable content systems. Partner with Talent Acquisition, Marketing, Communications, and business leaders to support hiring priorities and improve candidate experiences. Use performance data, audience insights, feedback, and market trends to evaluate campaigns, guide priorities, and increase candidate engagement and conversion.

The Talent Brand Manager will shape GitLab’s employer brand through recruitment marketing, storytelling, campaigns, and candidate education. Responsibilities include translating the employer value proposition into messaging, creating cross-channel campaigns and team-member stories, improving candidate journey touchpoints, analyzing funnel and engagement metrics, and partnering with Talent Acquisition and cross-functional stakeholders. The role also manages projects and external partners while improving talent brand processes, reporting, and operations in a fully remote environment.

Lead Babylist’s brand positioning, architecture, visual identity, creative studio, campaign concepting, video production, and partnership marketing. Build scalable, AI-enabled brand systems that help teams create on-brand work without manual approvals. Partner with product design, engineering, content, communications, and commercial teams to increase brand awareness, customer acquisition, and partner value while protecting brand consistency across the customer journey.

Lead customer listening and Voice of Customer programs, including NPS, CSAT, CES, surveys, and interviews. Analyze qualitative and quantitative customer data to identify drivers, trends, pain points, and opportunities. Present insights to executives and cross-functional teams, facilitate action planning, and drive systemic customer experience improvements. Evaluate AI tools for sentiment analysis, theme extraction, and customer research while helping build a data-driven, customer-centric culture.

Drives revenue growth by selling hybrid infrastructure services and solutions to public-sector, aerospace, and defense customers. Manages the full sales lifecycle, develops account strategies, builds customer and partner relationships, designs technical solutions, prepares BOMs and SOWs, and forecasts pipeline activity in Salesforce. Provides data-center expertise across VMware, HPE, Dell, and Cisco, mentors junior executives, supports industry events, and coordinates internal teams to achieve sales and profitability targets.

Manage intellectual property litigation, disputes, discovery, outside counsel, and court filings. Advise teams on patents, trademarks, copyrights, publicity rights, and legal risk. Support patent harvesting and prosecution, trademark protection, regulatory inquiries, customer complaints, commercial litigation, and artificial intelligence governance. Translate complex legal issues into practical business guidance while managing multiple priorities.

Five-and-a-half-month applied AI and analytics co-op building production-ready AI solutions, data pipelines, dashboards, reports, models, and agentic workflow prototypes. The role involves analyzing messy datasets, identifying insights, automating analytical workflows, documenting prompts, and presenting recommendations to business stakeholders. Co-ops work on live enterprise projects and support SharkNinja’s AI transformation initiatives while collaborating with technical and business teams.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

Provides administrative and operational support to the Tax team by coordinating filings, payments, signatures, licenses, deadlines, correspondence, and stakeholder communications. The role manages tax-related projects, maintains accurate records, improves workflows, translates business needs into reporting and dashboard requirements, and supports adoption of tax technology and automation tools. It also partners with compliance, legal, accounting, consultants, and government agencies to resolve inquiries and ensure timely regulatory compliance.

Owns Motive’s full-funnel B2B content strategy, including thought leadership, research, customer stories, executive content, and long-form editorial. Leads programs from opportunity identification through production, distribution, optimization, and measurement. Partners with marketing, sales, communications, SEO, brand, customer, and executive teams to align content with audience, brand, pipeline, and enterprise buying goals. Builds scalable, AI-enabled content processes and establishes editorial standards.

Leads Babylist’s editorial, branded content, social, creator and influencer marketing, community programs, and podcasts. Builds an affiliate creator program from the ground up, establishes content strategy and operating models, directs social-native video, balances editorial integrity with sponsored content, and drives acquisition through organic and paid distribution. Manages a multi-format content leadership team and partners across marketing, creative, and brand strategy to measure performance and scale growth.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Leads AI engineering and advanced analytics initiatives for AML and sanctions clients. Develops scalable data, visualization, and analytics solutions; validates data integrity, security, and compliance; identifies system linkages and optimization opportunities; manages client relationships and project execution; and mentors teams delivering innovative AI solutions.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.