Valkai Logo

Valkai

AI Strategy

Reposted 14 Days Ago
In-Office
San Francisco, CA, USA
140K-240K Annually
Mid level
In-Office
San Francisco, CA, USA
140K-240K Annually
Mid level
You will lead AI deployments within top pharmaceutical and biotech firms, act as a strategic advisor, and translate customer needs into product requirements.
The summary above was generated by AI

THE ROLE:

You'll be responsible for revolutionizing how life sciences organizations interact with AI. You will design and deploy novel AI experiences that become daily drivers of critical workflows. Working at the intersection of customer and product, you'll orchestrate frontier AI models into practical solutions that transform drug development timelines from months to minutes.

WHAT WE ARE LOOKING FOR:
  • Thoughtful problem solvers: You approach problems holistically, starting with a clear and accurate understanding of the context. You break down unstructured customer challenges into concrete deployment plans. You think critically about both business impact and technical feasibility of your solutions.

  • Not ideological about technology: To you, technologies are about tradeoffs. You may be opinionated, but you're not ideological. You can learn new AI capabilities quickly and are receptive to new approaches for solving customer problems.

  • Organized and self-sufficient: You are comfortable managing yourself, navigating ambiguity in customer environments, and finding ways to create measurable impact. You turn loose goals into concrete execution plans.

  • Owner of your mission: You are an owner of the customer outcomes you drive. You take pride in the quality of deployments, the adoption you achieve, and the ROI you deliver. You're accountable for results, not just recommendations.

  • Grit: You will run through walls to achieve customer success and drive adoption.

WHAT YOU'LL DO:
  • Lead AI deployments with Top 10 Pharma and leading biotech organizations, from pilot through production adoption

  • Configure and customize AI Assistants and Agents hands-on in the platform to deliver clear, measurable value

  • Act as strategic advisor on AI implementation in regulated environments, including change management, governance, and compliance considerations

  • Translate customer needs into product requirements by working closely with Engineering and Product teams

  • Develop repeatable deployment playbooks and best practices to scale successful implementations

  • Define requirements, test outputs, and validate success criteria for new Agent builds with customers

  • Identify and drive expansion opportunities based on usage patterns and adjacent workflow needs

  • Operate as day-to-day strategic partner to customer sponsors, ensuring momentum and removing blockers

NICE TO HAVE'S:
  • 3+ years of experience in consulting, strategy, operations, or client-facing roles

  • Experience in Life Sciences, healthcare, or other regulated industries

  • Background in enterprise software deployments or post-sale customer work

  • Prior experience collaborating with product or engineering teams

  • Familiarity with AI/LLM capabilities and deployment patterns

BENEFITS:
  • Competitive compensation, including meaningful equity

  • Medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy

  • Paid parental leave

At Valkai, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

Similar Jobs

2 Days Ago
Hybrid
San Francisco, CA, USA
123K-123K Annually
Senior level
123K-123K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.
5 Days Ago
Hybrid
San Francisco, CA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead AI-enabled cybersecurity strategy, transformation, and engineering engagements. Design and architect generative/agentic AI solutions, build AI-powered threat models and governance, manage teams and client relationships, and implement enterprise cyber risk controls to scale security capabilities.
Top Skills: Amazon BedrockAWSAws Boto3GCPGoogle Vertex Ai SdkLangchainPython
5 Days Ago
Hybrid
San Francisco, CA, USA
155K-410K Annually
Expert/Leader
155K-410K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead tech-enabled deal advisory across M&A, divestitures, and restructuring. Set strategy, guide complex transactions, identify risks and value-creation opportunities, drive AI and technology-led initiatives, maintain executive client relationships, and mentor emerging leaders.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account