Lavendo
Account Executive, Life Sciences & Pharma (AI Cloud)
Lavendo, San Francisco, California, United States, 94199
About the Company
Our client is an AI infrastructure company providing NVIDIA GPU cloud platforms (Blackwell, Hopper) and managed services to AI labs, software ISVs, and Fortune 1000 enterprises for large-scale AI model deployment. Backed by NVIDIA and Accel with signed multi-billion dollar contracts with Meta and Microsoft.
Company type: Publicly traded, 245% stock growth
Industry: Cloud Computing, AI/ML, Infrastructure-as-Code
Candidate location: Remote US
The Mission Our client is leading a new era in cloud computing to serve the global AI economy. They create tools and resources that enable customers to solve real-world challenges and transform industries without massive infrastructure costs or the need to build large in-house AI/ML teams.
The Opportunity As an Account Executive focused on Life Sciences, Pharma, and Medical verticals, you'll drive the adoption of GPU and AI infrastructure solutions among the world's most innovative healthcare and biotech organizations. You'll manage 5-10 enterprise accounts, owning relationships with institutions that require massive GPU clusters for AI-driven R&D.
What You'll Do
Manage complex, multi-stakeholder deals from prospecting to close across AI-native and enterprise accounts
Promote NVIDIA GPU infrastructure for training and deploying AI workloads
Build relationships with C‑suite and engineering leaders in target accounts
Collaborate with teams to deliver tailored proposals and outcomes
Maintain accurate pipeline management to meet quotas
Stay updated on industry trends and competition
What You Bring
5+ years of business development or enterprise sales experience, GPUs, or cloud computing
Direct experience or deep knowledge of pharma, life sciences, biotech, or medical research sectors
Deep technical acumen around GPUs, cloud infrastructure, and AI/ML training & inference
Strong relationship management and negotiation skills
Excellent executive communication skills to articulate business value from deeply technical solutions
Legal authorization to work in the U.S. on a full‑time basis without visa sponsorship
Bonus: Degree in life sciences, computational biology, chemistry, biochemistry, or related scientific field
Self‑starter: Thrives in a fast‑paced startup‑like environment
Collaborative mindset: Works effectively across departments and cultures
Results‑oriented: Strong sense of ownership and accountability
Innovative problem‑solver: Identifies new opportunities for growth
Continuous learner: Stays updated on the latest trends in AI and cloud computing
High integrity: Committed to ethical practices and responsible AI development
Passionate: Enthusiastic about democratizing access to cutting‑edge AI infrastructure
Why Join?
Competitive comp: 220k – 300k OTE (50/50 split) based on experience
Stock Options: Equity in a publicly traded company
Comprehensive Benefits: 100% company‑paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Paid parental leave (20 weeks for primary caregivers; 12 weeks for secondary caregivers)
Company‑paid short‑term/long‑term disability and life insurance coverage
Monthly reimbursement for mobile/internet expenses (up to $85)
Flexible Work Environment: Remote‑friendly culture with opportunities for in‑person collaboration
Innovative Technology: Work with state‑of‑the‑art NVIDIA GPUs and one of the most powerful commercially available supercomputers
Sustainability Focus: Contribute to energy‑efficient data centers that recover waste heat for residential use
Startup culture and innovation backed by the resources of an established company
Interviewing Process
Screening interview with Technical Recruiter (general fit assessment)
Level 1 - Virtual interview with Hiring Manager (in‑depth discussion)
Level 2 - Virtual interview with Solutions Architect (technical deep dive)
Level 3 - Virtual interview with C‑level executive (final stage)
Reference and Background Check: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
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Company type: Publicly traded, 245% stock growth
Industry: Cloud Computing, AI/ML, Infrastructure-as-Code
Candidate location: Remote US
The Mission Our client is leading a new era in cloud computing to serve the global AI economy. They create tools and resources that enable customers to solve real-world challenges and transform industries without massive infrastructure costs or the need to build large in-house AI/ML teams.
The Opportunity As an Account Executive focused on Life Sciences, Pharma, and Medical verticals, you'll drive the adoption of GPU and AI infrastructure solutions among the world's most innovative healthcare and biotech organizations. You'll manage 5-10 enterprise accounts, owning relationships with institutions that require massive GPU clusters for AI-driven R&D.
What You'll Do
Manage complex, multi-stakeholder deals from prospecting to close across AI-native and enterprise accounts
Promote NVIDIA GPU infrastructure for training and deploying AI workloads
Build relationships with C‑suite and engineering leaders in target accounts
Collaborate with teams to deliver tailored proposals and outcomes
Maintain accurate pipeline management to meet quotas
Stay updated on industry trends and competition
What You Bring
5+ years of business development or enterprise sales experience, GPUs, or cloud computing
Direct experience or deep knowledge of pharma, life sciences, biotech, or medical research sectors
Deep technical acumen around GPUs, cloud infrastructure, and AI/ML training & inference
Strong relationship management and negotiation skills
Excellent executive communication skills to articulate business value from deeply technical solutions
Legal authorization to work in the U.S. on a full‑time basis without visa sponsorship
Bonus: Degree in life sciences, computational biology, chemistry, biochemistry, or related scientific field
Self‑starter: Thrives in a fast‑paced startup‑like environment
Collaborative mindset: Works effectively across departments and cultures
Results‑oriented: Strong sense of ownership and accountability
Innovative problem‑solver: Identifies new opportunities for growth
Continuous learner: Stays updated on the latest trends in AI and cloud computing
High integrity: Committed to ethical practices and responsible AI development
Passionate: Enthusiastic about democratizing access to cutting‑edge AI infrastructure
Why Join?
Competitive comp: 220k – 300k OTE (50/50 split) based on experience
Stock Options: Equity in a publicly traded company
Comprehensive Benefits: 100% company‑paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Paid parental leave (20 weeks for primary caregivers; 12 weeks for secondary caregivers)
Company‑paid short‑term/long‑term disability and life insurance coverage
Monthly reimbursement for mobile/internet expenses (up to $85)
Flexible Work Environment: Remote‑friendly culture with opportunities for in‑person collaboration
Innovative Technology: Work with state‑of‑the‑art NVIDIA GPUs and one of the most powerful commercially available supercomputers
Sustainability Focus: Contribute to energy‑efficient data centers that recover waste heat for residential use
Startup culture and innovation backed by the resources of an established company
Interviewing Process
Screening interview with Technical Recruiter (general fit assessment)
Level 1 - Virtual interview with Hiring Manager (in‑depth discussion)
Level 2 - Virtual interview with Solutions Architect (technical deep dive)
Level 3 - Virtual interview with C‑level executive (final stage)
Reference and Background Check: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
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