Salesforce

1 month ago

Manager, Solution Engineering Informatica Data Foundations - FINS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead a team of Solution Engineers to translate complex enterprise data environments into outcome-focused AI strategies. Drive a Data First approach, articulate the value of a governed data foundation across fragmented ecosystems, scale leadership capabilities, and align executives while orchestrating high-impact deals.

Location: Chicago, New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 155,190 - 207,620 annually

Perks:Health InsuranceDentalVision401kEquityParental Leave

Key Requirements

•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.
•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.

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:InformaticaSalesforce Data CloudMuleSoftCloud data platformsGenerative AI

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

1 month ago

Manager, Solution Engineering Informatica Data Foundations - FINS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Chicago, New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 155,190 - 207,620 annually

Perks:Health InsuranceDentalVision401kEquityParental Leave

Key Requirements

•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.
•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.

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:InformaticaSalesforce Data CloudMuleSoftCloud data platformsGenerative AI

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor