Solutions Builder - Private Equity

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Job Category

Sales

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.

About the Role

• You are the builder. Production delivery is your job. The pod exists to go fast and go deep.
• Salesforce is hiring Solution Builders — senior individual contributors who are the technical engine of a 2-person delivery pod. You partner with a Director who owns strategy and customer relationships; you own the build. You design and deploy production-grade agentic AI systems directly at customer sites, working hands-on every day. No overhead, no managing other builders — just you, your pod partner, and the work in front of you.
• This is a hands-on IC delivery role . Your output is working software in production at the customer.

What You'll Do

Build & Deploy (Primary Focus)

Architect, build, and deploy production-grade Agentforce and agentic AI solutions end-to-end — this is your core job

Design and implement AI agents, multi-agent orchestration, agentic workflows, and the integration patterns that hold up in enterprise environments

Own data pipelines, system integrations, and production AI infrastructure across Salesforce, Snowflake, Databricks, and customer platforms

Build rapidly from ambiguous requirements — prototype to validate, then engineer to last

Resolve complex technical blockers: data integration failures, orchestration breakdowns, model deployment issues

Drive solutions from first commit through production handoff and active customer consumption

Pod Partnership with Director

Operate as the technical execution half of a 2-person pod — the Director shapes what gets built and why; you own how it gets built and make sure it ships

Translate strategy and customer context from the Director into concrete technical decisions and daily delivery progress

Communicate blockers, risks, and architecture tradeoffs clearly and early so the pod stays in sync

Represent technical depth in customer-facing sessions — architecture reviews, demos, working sessions, production readouts

Flag patterns, gaps, and opportunities you see in the field back to the Director and to Agentforce product teams

Customer Engagement

Embed directly with customer engineering and data teams — not remotely, not occasionally, but as a consistent presence

Build trust with customer technical counterparts through delivery quality and technical credibility, not just relationship management

Guide customer teams through the technical decisions required to operationalize AI at scale

Surface expansion signals and customer feedback to the Director

Contribute reusable patterns, reference implementations, and field insights back to the broader Builder org

Craft & Continuous Growth

Stay sharp on Agentforce platform evolution, agentic delivery patterns, LLM advances, and the competitive AI landscape

Codify what you learn — reusable components, playbooks, and lessons from the field that raise the bar for the whole org

Bring a growth mindset to hard problems: when something breaks or doesn't work, you dig in rather than escalate

What You Bring

Required

4–8+ years of software engineering, AI delivery, or technical consulting, with hands-on ownership of production systems (Builder: 4–6 years; Senior Builder: 6–8+ years)

Proven track record building and shipping production software — not prototypes, not demos, but systems that run in the real world

Hands-on LLM integration experience: agent frameworks (LangChain, LlamaIndex, or equivalent), prompt engineering, and responsible AI practices in production

Fluency in Python, JavaScript/TypeScript, Java, or Apex — and the range to add to that list as the work demands

Deep experience in data modeling, APIs, and integration patterns — able to design them, not just consume them

Ability to work autonomously in ambiguous, fast-moving customer environments with real delivery accountability

Strong enough communication skills to engage technical stakeholders and explain architecture decisions clearly

Ability to operate effectively as the sole builder in a small, high-trust pod

Willingness to travel ~25% of the time, working directly at customer sites

Preferred

Salesforce platform expertise: Agentforce, Apex, LWC, Data Cloud, Salesforce APIs

Salesforce certifications (Platform Developer I/II, Agentforce Specialist, System Architect)

Experience with cloud data platforms (Snowflake, Databricks, BigQuery)

Prior experience in forward-deployed engineering, consulting, or professional services

Familiarity with DevOps/CI-CD, observability tooling, or data governance frameworks

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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

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Posting 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.

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. Salesforce