Full-Time

Account Executive

Updated on 8/23/2026

Mithrl

Mithrl

11-50 employees

Generative AI-powered bioinformatics analysis pipelines

Compensation Overview

$150k - $300k/yr

San Francisco, CA, USA

In Person

In-person work at the San Francisco office is required.

Category
Sales & Account Management (1)
Required Skills
Machine Learning
CRM

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Requirements
  • At least 3 years of closing experience in SaaS or scientific software, including at least 1–2 years selling into biotechnology, pharmaceutical, or life sciences organizations.
  • A proven track record of running the full sales cycle from product demonstration through deal close.
  • Familiarity with scientific workflows such as omics, bioinformatics, computational biology, or drug discovery, with the ability to communicate credibly with technical audiences.
  • Strong presentation, negotiation, and closing skills.
  • Experience navigating procurement and legal processes in life sciences or enterprise contexts.
  • High attention to detail and the ability to operate in a fast-paced, high-growth environment.
Responsibilities
  • Own qualified opportunities handed off from sales development representatives, marketing, or inbound channels.
  • Conduct tailored product demonstrations highlighting value for life sciences research and development teams and decision-makers.
  • Manage all stages of the evaluation process, including discovery, technical validation, procurement, and legal or contract discussions.
  • Partner with scientific and customer success teams to ensure prospects understand the platform’s scientific and business value.
  • Develop relationships with technical and business stakeholders, from bench scientists to executives.
  • Drive opportunities to close while consistently achieving or exceeding quarterly and annual revenue targets.
  • Maintain accurate pipeline management and forecasting in the customer relationship management system.
  • Provide customer feedback to help refine the product and its positioning.
Desired Qualifications
  • A background in life sciences through education or prior industry experience.
  • Experience selling artificial intelligence, machine learning, or data platforms to research and development teams.
  • An existing network in biotechnology or pharmaceutical organizations.

Mithrl provides data-processing services for bioinformatics using Generative AI to speed up the creation of analysis pipelines and the generation of comprehensive reports. Its platform enables clients to obtain ready-to-run pipelines and accompanying white papers or reports through a subscription or order-based model, with pricing tailored to each project. The product works by applying Generative AI and automated workflows to ingest client data, design and run analysis pipelines, and produce structured reports or white papers, all within a transparent, client-controlled environment. Mithrl differentiates itself by focusing on rapid, customized delivery for a niche bioinformatics market, offering tailored content and insights while prioritizing data transparency and avoiding third-party data sharing. The company's goal is to help clients achieve faster, reliable data analysis and documentation through accessible, contract-based services that fit their specific needs.

Company Size

11-50

Company Stage

Seed

Total Funding

$4M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • $4 million seed financing from Bonfire Ventures funded go-to-market expansion and platform development in 2024.
  • Mithrl presented Elephas collaboration data at AACR 2026, signaling active scientific credibility.
  • April 2026 website relaunch and Bio-IT 2026 booth #802 show visible market-building momentum.

What critics are saying

  • Mithrl still sits at seed stage with only $4 million total funding, limiting commercial endurance.
  • Biopharma procurement cycles and validation requirements delay revenue recognition for months or years.
  • If FDA, journals, or customers reject its AI reasoning, Mithrl's category claim collapses.

What makes Mithrl unique

  • Mithrl's 2026 relaunch positions it as a Scientific Decision Engine for enterprise R&D.
  • Its platform turns RNA-seq, proteomics, and metabolomics data into reproducible, defensible IP opportunities.
  • Elephas collaboration and AACR 2026 poster validate multimodal tumor profiling and agentic analysis.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Remote Work Options

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Paid Holidays

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Phone/Internet Stipend

Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

4%

2 year growth

4%
Mithrl
Mar 28th, 2026
An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User.

An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User. In service of service labs. Last month, the Mithrl team headed to Pittsburgh for ABRF 2026, the annual meeting of the Association of Biomolecular Resource Facilities. ABRF is where the scientists who run core research facilities come together: the genomics labs, proteomics centers, and shared resource teams that power discovery across academia and biopharma. What makes it special is that it sits at the intersection of cutting-edge science and real-world execution. The people in the room aren't just talking about new technologies; they're the ones actually running the experiments. Its scientific poster. Mithrl Inc. were honored to be selected for a scientific poster, An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User, authored and presented by, Ada Shaw, PhD, Scientific Partnerships Lead at Mithrl. Poster background: challenges. - Data complexity ≠ clearer outcomes for investigators - Bioinformatics & biology expertise rarely coexist - AI outputs: hard to verify, reproduce, or operationalize Solution: Mithrl Scientific Decision Engine. Raw Reads to Defensible Decisions; Transparent · Accurate · Reproducible Mithrl is a Scientific Decision Engine that compresses the discovery loop for pharma R&D. Mithrl may also be applied to service lab operations, to deliver data to clients in a ready-for-insights mode, with no coding or configuration required. With Mithrl[[ʼ]]s enterprise-ready agentic AI systems, bench scientists and computational biologists can accelerate analyses and contextualize results with rigorous biological insights. Mithrl enables researchers to discover new biomarkers, identify new therapeutic targets, and understand mechanisms of action, moving from raw data to reproducible insights and defensible IP opportunities. Conversations and community continue. Download its scientific poster from the recent ABRF conference in Pittsburgh, PA. Connect with Mithrl Inc. to discuss the Mithrl Scientific Decision Engine and how your discovery or services lab could gain a competitive edge in speed and delivering depth of actionable insights.

FinSMEs
Nov 15th, 2024
Mithrl Inc. raises $4M Seed Funding

Mithrl, a San Francisco-based AI platform provider for scientific research, raised $4M in Seed funding led by Bonfire Ventures. The funds will be used to expand their go-to-market team and enhance their platform, which aids pharmaceutical and biotech firms in accelerating drug discovery. The platform allows rapid RNA sequencing data analysis without coding, enabling scientists to validate findings.