Level

Higgsfield AI

(Senior) Account Executive

Higgsfield AI is hiring a (Senior) Account Executive in New York, United States. It pays $125k-$220k a year and Level rates it ; you can apply on Higgsfield AI.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions saas, enterprise sales and plg among its tools and skills.
  • Level classes it as a senior role.
  • Higgsfield AI has 95 other open roles on Level.

AI in this role

Senior Account Executive needed at Higgsfield AI to drive product-led growth, enterprise expansion, and usage-based revenue in generative AI video tools.

saasenterprise-salesplggenerative-aiapi
Why work at Higgsfield AI?

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

Role Overview

Higgsfield AI is looking for a highly commercial, product-minded Senior Account Executive to help scale our product-led growth and enterprise expansion motion during a period of hypergrowth.

This role sits at the intersection of Product, Revenue, Customer Success, and Growth, helping convert product adoption into long-term commercial expansion across strategic accounts. You will work directly with customers already engaging with the platform to drive activation, increase product consumption, grow contract value, and identify new revenue opportunities.

We are specifically looking for someone who understands how modern PLG and usage-based software companies grow — especially within AI, GenAI, API, infrastructure, creator tooling, or credit-based product environments where expansion is driven by product usage, adoption, and customer outcomes.

The ideal candidate has experience working at a PLG-first company, a usage-based SaaS business, or a credit-based GenAI platform where revenue growth came from expanding existing customer relationships, increasing usage, and turning power users into enterprise accounts.

This is a highly cross-functional role that requires strong customer instincts, operational rigor, and comfort operating in a fast-moving startup environment.

Key Responsibilities

Product-Led Revenue Growth

  • Own commercial growth across strategic accounts, with a focus on increasing usage, expanding contracts, and growing long-term account value.

  • Partner with customers already engaging with the platform to drive activation, retention, and expansion.

  • Identify opportunities for increased product adoption across teams, workflows, and use cases.

  • Structure pilots, proofs of concept, renewals, and expansion opportunities.

  • Translate customer usage signals into actionable revenue opportunities.

Customer Engagement & Solutions

  • Lead customer discovery conversations to understand workflows, pain points, and business goals.

  • Demo and iterate with customers directly in the product.

  • Translate AI/GenAI capabilities into clear business value and ROI-driven outcomes.

  • Act as a trusted advisor to customers across creative, marketing, growth, and operational teams.

GTM Strategy & Scale

  • Help refine Higgsfield’s enterprise GTM motion as the company scales.

  • Partner cross-functionally with Product, Engineering, Marketing, and Leadership teams.

  • Surface customer insights, product feedback, and market trends to improve adoption and expansion.

  • Bring operational structure to account management, forecasting, and revenue tracking.

Knowledge, Skills, and Qualifications

  • 8+ years of experience in GTM, account management, growth, customer success, enterprise sales, or solutions engineering roles.

  • Strong track record of growing customer contracts within SaaS, PLG, usage-based, or AI-native companies.

  • Experience at a PLG-first, API-first, or credit-based GenAI company strongly preferred.

  • Experience managing expansion motions tied to product usage, credits, seats, or workflow adoption.

  • Strong customer discovery, presentation, negotiation, and closing skills.

  • Ability to communicate complex AI products to both technical and non-technical stakeholders.

  • Highly operational and comfortable working cross-functionally in fast-paced startup environments.

  • Strong analytical mindset with the ability to leverage usage data and customer insights to drive growth.

Compensation & Benefits

Compensation & Benefits

  • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.

  • Base Salary: The anticipated salary range for this role is $125,000 - $220,000 depending on experience, skills, scope, and location.

  • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.

  • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.

  • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.

  • Significant ownership, direct impact, and opportunities for professional growth as the company scales.

This is a fully remote role in NY or LA with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. If you are based in San Francisco, it is a hybrid role. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams.

Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

How we rate this

(Senior) Account Executive at Higgsfield AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SaasEnterprise SalesPlgGenerative AIAPI

Also common in sales jobs at this level

Pay

This job starts at
$125k
Typical sales job
$140k

This posting starts 11% below the typical sales job. See sales jobs

Questions you could be asked

  1. Tell me about a project where saas was part of your work. What did you do?
  2. Tell me about a project where enterprise sales was part of your work. What did you do?
  3. Tell me about a project where plg was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where api was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Saas, Enterprise Sales, Plg, Generative AI, and API. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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