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Top Tech Jobs & Startup Jobs in Boston, MA
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, optimize, and support production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead architecture and cost-performance optimization across scalable AI platforms, establish engineering standards, contribute to long-term technical roadmaps, and mentor senior AI engineers.
Top Skills:
Agentic AiAWSAws UltraclustersAzureC#C++CudaGenerative AiGoGCPHugging FaceJavaLarge Language ModelsMlxModel CompressionMulti-Agent WorkflowsPythonPyTorchRetrieval-Augmented GenerationScalaSimilarity SearchVectordbs
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and multi-model orchestration. Lead cost-performance governance, technical design reviews, AI engineering standards, and long-term platform strategy. Apply state-of-the-art optimization techniques to improve model scalability, latency, throughput, hardware utilization, and cost. Mentor senior technical leaders and collaborate with engineers, scientists, product managers, and program managers.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchScalaVectordbs
Reposted 25 Days AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Lead medium-to-large cross-functional finance product projects end-to-end: establish structure, manage timelines/budgets, maintain governance and documentation, run OKR reporting, support org communications, build an AI-powered learning/onboarding strategy, and partner with stakeholders to streamline processes and mitigate risk.
Top Skills:
AI
Fintech • Machine Learning • Payments • Software • Financial Services
Supports product management for Finance Products & Data Solutions by defining acceptance criteria, breaking epics into features and user stories, prioritizing roadmaps, validating solutions through data, and collaborating with technology, design, data science, and business teams. The role develops digital products in an agile environment, manages product platforms, communicates roadmaps, and drives stakeholder alignment and business value.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science initiatives for US Card acquisitions, developing and deploying machine learning models across their full lifecycle. Partners with data scientists, software engineers, product managers, and business stakeholders to solve complex problems, analyze large-scale numeric and textual datasets, validate models, and translate technical findings into business outcomes. The role also involves team leadership, talent development, model governance, monitoring, and ongoing model improvements.
Top Skills:
SparkAWSCondaH2OMachine LearningPythonRRelational DatabasesScalaSQL
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One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product design strategy and hands-on craft across concierge and premium card experiences. Establishes AI-driven design workflows, prototypes innovative digital experiences, mentors designers, raises organizational design capabilities, and partners with research, product, engineering, marketing, and analytics leaders. Translates customer insights, business strategy, and technical constraints into scalable, human-centered products while influencing senior stakeholders and long-term product direction.
Top Skills:
Ai-Assisted Design ToolsDesign SystemsFigmaGenerative AiMobile TechnologiesWeb Technologies
Fintech • Machine Learning • Payments • Software • Financial Services
Develop, implement, govern, and integrate enterprise ontologies and data models. Harmonize linked data, establish semantic and data-standardization guidelines, support knowledge organization and machine-learning integrations, and advocate semantic technology across Finance and Enterprise teams. Use W3C ontology standards and specialized tools to test, troubleshoot, and maintain models while collaborating with Technology, Product, and Machine Learning stakeholders.
Top Skills:
Amazon NeptuneAmazon Web ServicesAnzographAvroData.WorldGraph DatabasesJSONOpenapiOwlPoolpartyProtegePythonRRdfRdfsShaclSkosSparqlSQLStardogTopquadrantXMLYaml
Fintech • Machine Learning • Payments • Software • Financial Services
Develops and governs enterprise ontologies, semantic models, and data standards. Partners with Finance, Technology, Product, and Machine Learning teams to integrate semantic technologies, harmonize linked data, improve data discoverability, and support product development. Responsibilities include applying W3C standards, managing ontology tools, testing models, advocating data standardization, monitoring industry developments, and overseeing related projects.
Top Skills:
Amazon NeptuneAmazon Web ServicesAnzographAvroData.WorldGraph DatabasesJSONOpenapiOwlPoolpartyProtegePythonRRdfRdfsShaclSkosSparqlSQLStardogTopquadrantXMLYaml
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product strategy and execution for integrating acquired companies and partnerships into Capital One’s Finance ecosystem. Establishes integration frameworks, aligns cross-functional workstreams, manages risks and blockers, and communicates strategies to executives. Uses data to assess opportunities and delivery performance while driving technology initiatives and organizational change. Also mentors product managers, shapes team culture, and promotes product management practices across Finance.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product management for Capital One’s Line of Business Enablement team supporting Card and Retail. Translates business strategy and technical architecture into product roadmaps, productizes financial reporting processes, aligns engineering, finance, compliance, and other stakeholders, and drives scalable, reliable technology solutions. The role requires customer-focused problem solving, business execution, technical curiosity, risk mitigation, and transformational cross-functional leadership.
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