Manager, Solution Engineering Informatica Data Foundations - FINS
Chicago, IL
About the role
Manager, Solution Engineering Informatica Data Foundations - FINS, Illinois - Chicago / New York - New York / California - San Francisco | Salesforce Careers We care about your privacy Thank you, your preferences have been updated. By clicking "Accept All", you agree to the storing of cookies on your device to give you the most optimal experience using our website. We may also use cookies to enhance performance, analyze site usage, and to personalize your experience. Manage Preferences Accept All Essential Only Skip to main content Careers Life at Salesforce Our Locations Our Locations North America Europe, Middle East, and Africa Asia Pacific Latin America Our Teams Our Teams Sales Technology & Product Customer Success Corporate Roles AI Research University University Overview Interns New Grads Advanced Degrees Associate Program Manager Talent Programs Talent Programs Overview Future Pathways India Return to Work Military Fellows Saved jobs Search jobs Yes No Manager, Solution Engineering Informatica Data Foundations - FINS Sales Illinois - Chicago New York - New York California - San Francisco Full time Posted 05 June 2026 JR332694 Apply Now Save Saved Open sharing options Share Description At Informatica, a Salesforce Company, our employees are empowered to push their bold ideas forward, and we are united by a shared passion for using data to do extraordinary things for each other and the world. We seek innovative thinkers who believe in the power of data to drive meaningful change. Role Overview: The Manager of Solution Engineering is responsible for building, coaching, and scaling a team that translates complex enterprise data environments into clear, outcome-driven AI strategies for customers. You will drive a Data First strategy, ensuring
the team can clearly articulate why a trusted, governed data foundation across fragmented ecosystems is required to operationalize AI. This role requires a leader who maximizes team capability. Success is defined by your ability to raise the bar on how
the team engages, reducing dependency on direct involvement while improving executive alignment, deal orchestration, and value-based selling. While strong leadership fundamentals are expected, success in this role will be measured by how quickly you scale these capabilities across
the team.
Responsibilities: Lead and Develop Technical Talent: Guide and coach a team of Solution Engineers across experience levels, with a focus on improving how they engage, not just what they present. Build a culture of accountability, preparation, and continuous improvement. Over time, success is measured by
the team’s growth and independence. Drive Executive Alignment: Coach
the team to identify and align to the priorities of key decision makers and influencers. Develop their ability to move beyond feature-level discussions into business outcomes, architectural tradeoffs, and risk. Orchestrate Complex Deals: Develop
the team’s ability to plan ahead, prioritize effectively, and coordinate across stakeholders. Reinforce disciplined deal strategy and ensure progress is maintained through
the team without consistent manager intervention. Elevate the Architectural Narrative: Coach
the team to independently position multi-ecosystem architectures that unify fragmented data estates into a trusted foundation for enterprise AI. Continue to push beyond feature-function positioning into outcome-driven architectural thinking. Enforce Value Discipline and Project Monitoring: Build and reinforce a structured approach to discovery, value validation, and follow-through. Coach
the team to proactively identify risks, address obstacles early, and tie technical engagement to measurable business impact. Balance Coaching vs. Direct Involvement: Demonstrate sound judgment in when to step into deals versus coaching from the sidelines, with a clear bias toward developing team capability over individual contribution. Required
Qualifications: Technical Aptitude and Leadership Growth Potential: Strong technical foundation with the ability and desire to grow into a leadership role focused on coaching and scaling others. Demonstrated ability to influence beyond individual contribution. Solution Engineering Mastery: Strong understanding of enterprise data management and integration, with the ability to coach others on how these capabilities enable AI, automation, and digital transformation. Technical Breadth: Experience with modern data architectures, including cloud data platforms, integration patterns, and
the role of data in supporting Generative AI and Large Language Models. Value-Based Selling Capability: Demonstrated ability to coach consultative and value-based selling approaches, connecting technical solutions to measurable business outcomes. Operational Leadership: Experience managing or supporting SE capacity, deal prioritization, and pipeline execution within a technical sales environment. Degree in Computer Science required (B.S., Master's, or Ph.D.) Preferred
Qualifications: Leadership Experience: 5+ years in technical pre-sales, strategy, or management consulting, with clear evidence of leadership through mentoring, informal team leadership, or driving initiatives in complex sales environments. Enterprise Platform Knowledge: Experience with platforms such as Salesforce Data Cloud, Informatica, MuleSoft, or similar, and an understanding of how to position across heterogeneous ecosystems to deliver a unified data foundation FINS Domain Knowledge: Experience in Financial Services, including familiarity with regulatory constraints, data fragmentation challenges, and enterprise data modernization efforts. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our
benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. At Salesforce, we strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and
qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Equal Opportunity Statement. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and
qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment,
compensation, promotion,
benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for
compensation,
benefits, promotions, transfers, reduction in workforce, recall, training, and education. At Salesforce, we believe in equitable
compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $155,190 - $207,620 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $170,660 - $228,340 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company
bonus, incentive for sales roles, equity or
benefits, as applicable. Salesforce welcomes all. In the United States,
compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Salesforce offers a variety of
benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company
