You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Salesforce

Senior Director, Technology Program Management

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $160K - 245K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Program & Project Management

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

We are seeking an exceptional Senior Director of Technology Program Management to serve as the execution backbone for the Chief Data Officer’s organization. This leader will own portfolio governance and execution across our most strategic Data/AI ML Platforms, Analytics, AI, Integration, Automation, Governance, and platform transformation initiatives. The role requires a rare combination of deep technical fluency, exceptional program rigor, executive presence, and the courage to drive accountability across organizational boundaries.

This is not a traditional PMO role. We are looking for a technology leader who can operate at executive altitude while going deep enough to understand architecture, data flows, technical dependencies, product constraints, operational readiness, and delivery risk. This person will create clarity where there is ambiguity, surface issues early, drive decisions, and ensure that commitments translate into measurable outcomes.

What You’ll Actually Be Doing

Portfolio Strategy & Governance

Own the end-to-end portfolio operating model for the Chief Data & Intelligence Office, connecting strategy, investments, roadmaps, milestones, dependencies, capacity, risks, and measurable business outcomes.

Establish a single, trusted view of portfolio health: what is on track, what is at risk, why it is at risk, who owns recovery, and what decisions or executive interventions are required.

Drive annual and quarterly planning, prioritization, sequencing, resource trade-offs, portfolio reviews, and executive steering mechanisms across a highly interdependent technology landscape.

Define portfolio health metrics and mechanisms that improve delivery predictability, decision velocity, dependency management, and value realization.

Technical Program Leadership

Lead large-scale, technically complex Data & AI programs spanning modern data platforms, data engineering and ingestion, analytics, governance, master/reference data, integration and APIs, cloud infrastructure, AI/ML, generative AI, agents, and enterprise automation.

Partner deeply with Product, Engineering, Architecture, Security, Operations, Governance, and business leaders to translate technical roadmaps into executable integrated plans.

Understand and challenge architecture, sequencing, non-functional requirements, technical debt, security, reliability, scalability, data quality, and production-readiness assumptions; identify systemic risks before they become delivery failures.

Manage critical cross-program and cross-platform dependencies, including dependencies across Data Solutions, other Digital Enterprise Technology pillars, Technology & Product, business teams, and strategic partners.

Execution Excellence & Accountability

Create a culture where commitments mean something. Establish clear owners, dates, decision rights, exit criteria, and measurable outcomes—and hold yourself and others equally accountable.

Surface risks and uncomfortable truths early. Constructively call out missed commitments, insufficient ownership, slow decisions, or execution gaps, and drive a credible recovery plan.

Lead high-cadence operating reviews and technical deep dives that remove blockers, accelerate decisions, and keep business-critical milestones on track.

Balance inclusion with accountability: invite diverse perspectives, build trust, and create psychological safety while maintaining a high bar for performance, transparency, and follow-through.

Cross-Organizational Leadership

Influence without authority across senior leaders and globally distributed teams; resolve competing priorities and drive alignment when ownership spans multiple organizations.

Serve as a trusted advisor to VP/SVP executives, translating complex technical and execution signals into concise insights, choices, risks, and recommendations.

Reduce organizational friction by clarifying ownership, resolving dependency conflicts, and ensuring teams understand how their commitments affect the broader portfolio.

AI-First Leadership

Be a visible role model for AI-first ways of working. Personally use AI and automation to improve planning, synthesis, dependency analysis, risk detection, executive reporting, decision support, and program operations.

Bring practical fluency in generative AI, LLMs, agents, agentic workflows, RAG, embeddings/vector search, context engineering, tool orchestration, evaluation, observability, AI governance, and responsible AI.

Challenge the TPM organization to automate coordination work, codify reusable AI skills and workflows, and demonstrate measurable gains in speed, quality, and capacity.

Partner with technical teams to ensure AI programs are grounded in trusted data, governed context, secure access, measurable quality, and production-grade operational controls.

Team Leadership & Culture

Build, mentor, and scale a high-performing portfolio and Technical Program Management organization; develop leaders who combine technical depth with disciplined execution.

Set a high bar for program craftsmanship, executive communication, judgment, ownership, and continuous improvement.

Create an inclusive, transparent culture where teams debate constructively, escalate responsibly, learn quickly, and remain relentlessly focused on outcomes.

You’re Our Person If…

You bring 12–15+ years of experience in technical program management, engineering, product/platform delivery, or related technology leadership roles, including significant experience at enterprise scale.

You have a proven track record leading portfolios of complex, multi-year Data, Analytics, Cloud, Platform, or AI programs with substantial technical and organizational interdependencies.

You are technically credible with senior engineers and architects and can understand, question, and challenge complex system designs without needing to be the primary architect.

You have strong knowledge of modern data architectures, distributed/cloud data platforms, software development lifecycles, APIs/integration, data governance, reliability, security, and AI/agent architectures.

You demonstrate exceptional executive communication, structured problem solving, financial and capacity management, and the ability to turn ambiguity into clear decisions and executable plans.

You are comfortable challenging senior stakeholders respectfully, holding peers and teams accountable, and making difficult calls when commitments or outcomes are at risk.

You have experience building and developing high-performing TPM or portfolio teams and leading effectively in a global, matrixed organization.

You are hands-on and credible with AI: you do not simply sponsor AI transformation—you use it, learn it, and model how it should change the way technology teams work.

You have direct experience delivering enterprise-scale customer, master, reference, or operational data platforms; analytics/BI; data governance; integration platforms; or production AI/agent capabilities.

You have experience with large SaaS environments such as Salesforce, cloud data platforms (Data 360/Snowflake/Databricks etc), data observability, metadata/semantic layers, and enterprise platform modernization.

You hold a Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline; an advanced degree is a plus.

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.

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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 34 more places

55 of their 340 open roles are remote

Your chances

We've checked whether it's still hiring and how crowded it is.

  • 19 checks run
  • 0 red flags

Still hiring?

13 checks

No red flags

How crowded?

6 checks

No red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Databricks
  • Snowflake
  • LLMs
  • RAG
  • Vector databases
Seniority
Director
Type
Full-time
Industry
SaaS
Specialty
Project Manager
Region
United States
Show 6 more factsShow less

Role

Category
Product & Project
Specialty
Project Manager
Seniority
Director
Experience
15+ years
Tech stack
  • Databricks
  • Snowflake
  • LLMs
  • RAG
  • Vector databases

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Lead SMB & Channel Sales Program Manager

    €90,000 - 165,000 / year

    • Hybrid · Dublin
    • Lead & Manager
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Technical Program Manager

    $200,000 - 240,000 / year

    • Hybrid · US
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Project Manager

    Salary by agreement

    • Office · Sydney, Australia
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Project Technical Delivery Manager

    Salary by agreement

    • Remote · Europe, Germany
    • Lead & Manager

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason