Manager, Solution Engineering Informatica Data Foundations - FINS

Salesforce; New York (NY); On-site; USD 155,190 - 228,340; Full time

Benefits offered by this job

Time off programs

Medical, dental, vision, and mental health support

Paid parental leave

Life and disability insurance

401(k) plan

Employee stock purchasing program

Job summary

Salesforce is hiring a Manager of Solution Engineering in New York, NY. This role involves leading a team to translate complex data environments into AI strategies. Key responsibilities include coaching team members, driving executive alignment, and orchestrating complex business deals.

The ideal candidate will have a degree in Computer Science, relevant technical experience, and proven leadership skills in a pre-sales environment. Benefits include comprehensive health support, 401(k), paid leave, and more.

Qualifications

• Proven experience in technical pre-sales or management consulting.
• Strong foundation in enterprise data management and integration.
• Experience with modern data architectures and cloud platforms.

Responsibilities

• Lead and coach Solution Engineers, enhance engagement and accountability.
• Drive alignment with key decision-makers to achieve business outcomes.
• Orchestrate complex deals, ensuring disciplined deal strategy.

Skills

Technical Aptitude

Solution Engineering Mastery

Value-Based Selling

Education

Degree in Computer Science (B.S., Master's, or Ph.D.)

Tools

Salesforce Data Cloud

Informatica

MuleSoft

Job description

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. The role focuses on Data First strategy, ensuring the team can articulate the need for a trusted, governed data foundation across fragmented ecosystems to operationalize AI.

Success in this role is measured by the ability to raise the bar on how the team engages, reduce dependency on direct involvement while improving executive alignment, deal orchestration, and value-based selling. The leader will scale these capabilities across the team quickly.

Responsibilities

• Lead and Develop Technical Talent: Guide and coach a team of Solution Engineers across experience levels, focusing on improving engagement. Build a culture of accountability, preparation, and continuous improvement.
• 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 without constant 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. 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.

Benefits

• Time off programs
• Medical, dental, vision, and mental health support
• Paid parental leave
• Life and disability insurance
• 401(k) plan
• Employee stock purchasing program

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. The typical base salary range for this position is $155,190 - $207,620 annually. In California and New York, and select cities in Boston, Chicago, Seattle, and Washington DC, the base pay range is $170,660 - $228,340 per year. The range represents base salary only and does not include company bonus, incentive for sales roles, equity or benefits.

EEO Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.