AI Solutions Engineer Jobs in Palo Alto, CA

Company Description

Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer.

Overview

We are seeking an exceptional Product Manager with expertise in automation and AI, for close collaboration with internal teams and customers, to deliver comprehensive intelligent automation and agentic solutions. The ideal AI & Automation Solutions Product Manager (AASPM) is a strategic thinker with a strong engineering acumen—someone who excels at process mapping, rapid prototyping, and deploying reliable systems that drive measurable improvements. As an integral member of our Oncology Digital Product team, you will contribute to product strategy and technology implementation across our digital portfolio, which includes both clinician-facing solutions and internal platforms supporting precision oncology operations. Our AASPM is a systems thinker who thrives in customer-facing environments, and is eager to work hands-on with modern AI technologies. Proficiency with leading AI and automation tools—such as Microsoft Copilot, ServiceNow, UiPath/Power Automate, Slack/Zoom bots, and Zapier/Make—is essential. You will rigorously assess business impact, champion process transformation, and empower operational subject matter experts to become self-sufficient “user-builders,” enabling them to manage key business levers effectively.

Essential Duties And Responsibilities

- Embed with customer and internal teams to map current/target processes, identify automation/AI opportunities, and define success metrics and ROI.
- Lead structured discovery (interviews, shadowing, data/queue analysis), translate needs into clear problem statements, requirements, and backlogs.
- Run iterative delivery using agile methods—prototype → pilot → production—and manage change, training, and adoption.
- Design and build automated/agentic and workflow solutions across the stack: Salesforce, Lab systems, and in-house platforms.
- Implement RPA/workflow automation where appropriate (Power Automate, UiPath, ServiceNow flows, Zapier), integrating with SFDC, data warehouses, and clinical/operational systems. Limit customization and maximize speed.
- Create reusable patterns, templates, and components (prompts, tools, connectors) and maintain a catalog of approved solutions.
- Define evaluation frameworks (quality, time savings, increased throughput), telemetry, and dashboards; instrument experiments (A/B, champion/challenger).
- Partner with product/engineering on roadmaps; document architectures, runbooks, and handoffs for long‑term ownership.

Qualifications

- Typically requires a university degree and generally 8 years of related experience; 6 years and a Master’s degree; 3 years and a PhD; or PharmD/MD.
- 4+ years total experience across software engineering, business/process analysis/consulting, or product, with 3+ years focused on automation and/or applied AI.
- Demonstrated success embedding with customers and shipping production solutions that improved measurable business outcomes.
- Hands-on proficiency with AWS, Salesforce, or RPA/workflow platform (Power Automate, UiPath, ServiceNow, or equivalent).
- Practical experience building LLM-powered applications: prompt design, tool/function calling, no-code building.
- Strong systems and process design skills (e.g., BPMN, swim lanes, value-stream mapping) and data-informed communication.
- Background in healthcare/regulated environments (HIPAA/PHI), or complex enterprise operations.
- Familiarity with Salesforce Health Cloud/Einstein, contact center and case management patterns.
- Experience with observability and analytics for automations (logging, tracing, dashboards) and LLM evaluation frameworks.
- Exposure to MLOps and model lifecycle management; understanding of model and prompt risks.
- Equally comfortable in stakeholder workshops and in code.
- Clear, persuasive communicator who can teach, uplift, and bring teams along with them.

Hybrid Work Model:

This section is applicable to onsite employees who are eligible for hybrid work location as specified by management and related policies. Guardant has defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.

Compensation

The annualized base salary ranges for the primary location and any additional locations are listed below. This range does not include benefits or, if applicable, bonus, commission, or equity. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, education, job-related skills, job duties, and business need.

Primary Location: Palo Alto, CA
Primary Location Base Pay Range: $157,100 - $216,050
Other US Location(s) Base Pay Range: $133,500 - $183,600
If the role is performed in Colorado, the pay range for this job is: $141,400 - $194,450

Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time.

Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com

A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).

Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

All your information will be kept confidential according to EEO guidelines.

To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants.