Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads data engineering teams and provides technical direction for software architecture, development, DevOps, engineering standards, platform strategy, and production support. Partners with product managers and cross-functional stakeholders on roadmaps and solutions, manages vendors, coaches engineers, recruits talent, and oversees team performance, budgets, objectives, and continuous improvement.

Owns governance and optimization of the TAN investment advisory product shelf. Coordinates product intake, evaluations, due diligence, approvals, implementation, and ongoing oversight across managed accounts, alternatives, models, and specialized solutions. Advises CIOs and advisors, identifies shelf gaps, monitors industry trends, and partners with Compliance, Legal, Risk, Operations, Technology, Distribution, and Wealth Management teams to improve competitiveness and client outcomes.

Leads Money Canvas Coaching Operations, owning the coaching delivery strategy, operating model, roadmap, performance metrics, workforce planning, and service quality. Manages Coach Managers and 40+ geographically dispersed coaches, develops leadership and culture, improves engagement and retention, and drives operational excellence. Partners with Product, Engineering, Design, HR, Learning Operations, and Strategic Operations to prioritize initiatives, implement new capabilities, and improve coaching and customer experiences.

Provides enterprise technical leadership for Identity and Access Management and AI-era identity security. Defines architectures, standards, governance, authentication, authorization, privileged access, machine identity, secrets, and agent security controls. Leads threat modeling, adaptive authentication, AI-driven detection, monitoring, and response capabilities. Partners with engineering, product, infrastructure, cyber defense, and architecture teams; mentors technical leaders; establishes reusable secure-by-default patterns; and influences executive stakeholders on identity risk, security strategy, and technology investments.

Leads the design, testing, implementation, and administration of compensation programs aligned with business strategies and total rewards philosophy. Consults with business leaders and HR partners, analyzes market and internal compensation data, evaluates jobs, manages complex projects, guides cross-functional teams, develops metrics and change communications, and influences senior stakeholders. Supports organization-wide programs including incentives, executive compensation, merit processes, pay structures, market competitiveness, board compensation, and recognition.

Designs, develops, tests, implements, and maintains scalable Salesforce Sales Cloud and Service Cloud solutions. Builds Apex, Lightning Web Components, Flows, integrations, and platform capabilities; troubleshoots complex Salesforce and enterprise-system issues; supports production operations, observability, CI/CD, and DevOps improvements. Provides technical guidance to junior and mid-level engineers and collaborates with architects, product owners, business partners, and technology teams.

Leads strategy, vision, roadmaps, prioritization, and measurable outcomes for enterprise data products supporting corporate functions. Partners with business and technology stakeholders to deliver analytics, governance, operational decision-making, and AI-enabled experiences. Coaches Product Owners and product teams, manages tradeoffs, tracks KPIs, conducts discovery, and promotes Agile product practices. Requires extensive enterprise data product experience, preferably in financial services or regulated industries.

Owns direction, discovery, prioritization, roadmap, and backlog management for enterprise data products. Partners with product managers, stakeholders, data engineers, architects, governance teams, and users to define requirements, user stories, acceptance criteria, and measurable outcomes. Supports agile delivery of trusted, scalable data products serving corporate functions, analytics, governance, operational decision-making, and AI-enabled experiences.

The Senior Product Owner leads enterprise data products from discovery through delivery. Responsibilities include defining product strategy and roadmaps, prioritizing backlogs, writing user stories and acceptance criteria, coordinating cross-functional teams, engaging stakeholders and users, measuring product value, and aligning agile delivery with business outcomes. The role supports data products for analytics, governance, operational decision-making, and AI-enabled capabilities in a regulated financial services environment.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.