Salesforce Technical Business Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Salesforce Technical Business Analyst based in the United States.

This role offers the opportunity to shape enterprise products at the intersection of Salesforce, Dev Ops, security, data protection, and AI. You will own product strategy and execution across a portfolio of Salesforce-native solutions serving complex enterprise environments. Working closely with executive leadership, engineering, Sales, Customer Success, and major customers, you will turn technical and market insights into high-impact product capabilities.

A major focus will be defining the next generation of AI-powered Dev Ops, governance, security, and data management experiences. You will combine deep Salesforce expertise with hands-on product management, from customer discovery and roadmap definition through delivery and release. The role is designed for an experienced product leader who wants significant ownership and influence over the future of the Salesforce ecosystem.

• Define and drive a multi-year product roadmap across five product areas covering Dev Ops, Backup & Archive, Trust Center, Data Seeding, and Dev Ops for Veeva.
• Identify opportunities within the Salesforce ecosystem to create new product categories, address customer needs, and expand market opportunities.
• Translate deep Salesforce platform knowledge---including metadata architecture, deployment models, Agentforce, Data Cloud, security, and multi-org environments---into enterprise product capabilities.
• Monitor Salesforce product releases and ecosystem developments to identify opportunities for product innovation and differentiation.
• Lead the development of AI-powered Dev Ops capabilities, including intelligent deployment agents, AI-assisted code review, automated security scanning, and predictive release management.
• Define how extensibility capabilities can support customer-specific AI workflows while operating within the Salesforce trust boundary.
• Develop product approaches for agent-aware governance and enterprise management of autonomous AI systems.
• Engage directly with enterprise customers and prospects to understand challenges related to Salesforce development, security, compliance, and data management.
• Translate complex enterprise requirements, including SOX compliance, zero-trust architecture, multi-org environments, and regulated-industry needs, into practical product solutions.
• Partner with Sales and Customer Success on strategic accounts, product demonstrations, deal strategy, and competitive evaluations.
• Create detailed product requirements, user stories, acceptance criteria, and other product documentation.
• Partner closely with engineering on sprint planning, backlog prioritization, release coordination, and delivery against product priorities.
• Define and monitor product KPIs such as adoption, activation, expansion, NPS, and competitive win rates.
• Conduct customer discovery, competitive research, and market analysis to continuously refine product strategy.
• Drive product-led feedback loops across Sales, Customer Success, and Engineering to improve product-market alignment and customer outcomes.
• Support product launches, ecosystem engagement, thought leadership, and initiatives designed to expand product adoption and market reach.

• 7 years of product management experience in B2B SaaS, including at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
• Deep technical understanding of the Salesforce platform, including metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
• Proven track record of shipping enterprise products that have been adopted and purchased by large organizations, particularly Fortune 500 or regulated-industry customers.
• Strong understanding of Dev Ops, CI/CD, release management, security, compliance, or related enterprise technology is strongly preferred.
• Familiarity with the Salesforce ecosystem and competitive landscape, including solutions such as Copado, Gearset, AutoRABIT, Salto, and Salesforce DX.
• Strong perspective on the role of AI and machine learning in Salesforce development and governance, particularly technologies such as Agentforce, Einstein, and Data Cloud.
• Hands‑on product management approach, with experience writing PRDs, engaging customers, reviewing designs or wireframes, and participating…