# Founding Enterprise Account Executive at Clera

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aclera%3Abf633eef-78bb-4e83-86c7-24027fd520ca (read 2026-11-06).

## Facts (observed)

- Company: [Clera](https://alderhq.app/companies/clera)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-08-01 (96 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/clera/bf633eef-78bb-4e83-86c7-24027fd520ca

## Pay and sponsorship

- Posted pay: $200k–$250k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 1630): p25 $161k, median $200k, p75 $242k

## Description (the employer's text)

### About the Role

A fast-growing, early-stage B2B SaaS company in the AI-native pricing optimization space is hiring its first Enterprise Account Executive. This is a founding role — you'll partner directly with the founders to build and own the enterprise sales motion from the ground up, shaping GTM strategy, creating repeatable playbooks, and closing high-ACV deals that directly influence both product direction and commercial success.

The platform helps businesses transform pricing from a static exercise into a continuously improving, AI-driven system — spanning packaging design, willingness-to-pay analysis, deal quoting, discount governance, and more.

### What You'll Do

Own the full enterprise sales cycle end-to-end: self-sourced prospecting, discovery, negotiation, and close.

Run consultative discovery with senior pricing and growth stakeholders — CFOs, CROs, CPOs, and Heads of Monetization.

Carry and accurately forecast an ambitious revenue target while maintaining healthy pipeline week to week.

Design, document, and iterate the enterprise sales playbook: outreach, qualification, deal structure, commercial terms, and close mechanics.

Partner with founders on GTM strategy, ICP definition, and positioning; feed real market insight back into product and sales strategy.

Establish CRM discipline and a consistent operating rhythm for pipeline hygiene, prioritization, and forecasting.

Sell AI-natively — leverage AI agents and workflows to automate repeatable buyer-journey tasks while focusing human judgment on critical deal moments.

Act as a trusted advisor to customers and deliver actionable product feedback from live deals to engineering and product teams.

First 90 days: ramp on the product and ICP, build pipeline via outbound and inbound, close initial deals end-to-end, and begin codifying a repeatable playbook.

### What We're Looking For

### Required

5–8+ years of enterprise B2B tech sales experience with a strong track record of closing high-ACV deals end-to-end.

Proven history of self-sourcing pipeline and consistently carrying and exceeding revenue targets.

Experience running multi-stakeholder enterprise deals and building consensus up to the C-level.

Proficiency with CRM and sales-engagement tooling (e.g., Salesforce, Gong) and building automations for repeatable sales tasks.

Comfort working with AI-driven workflows and directing AI tools in a sales context.

Strategic and analytical approach to market assessment paired with creative, tactical execution.

Ability to thrive in a fast-paced, high-ambiguity startup environment.

Professional fluency in English.

### Nice to Have

Experience with pricing, monetization, CPQ, or billing solutions.

### Compensation & Benefits

Base salary range: $200,000 – $250,000 USD annually (plus commission/variable; structure to be discussed)

Early-stage equity participation

Visa sponsorship: Not available

### Location

Primary location: San Francisco, CA, USA

Work arrangement: On-site

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aclera%3Abf633eef-78bb-4e83-86c7-24027fd520ca and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.