Freshworks

Freshworks

GTM Engineer, Revenue Operations

San Mateo, CA, United States

Sponsorship not specified$202k-$250kDetected 57 days ago
JavaScriptPythonSQLLLMsHubSpotSalesforceMarketoCRMSalesResearch

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$110,3861 entry
Level II$142,4382 entries
Level III$174,5123 entries
Level IV$206,5654 entries

$4,565 more — $206,565 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $206,565 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Organizations everywhere struggle under the crushing costs and complexities of "solutions" that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has
  • become a blocker instead of ways to get work done.

Responsibilities

  • Build AI-powered GTM Workflows: Design and deploy agents and automations across lead management, account research, routing, scoring, prioritization, personalization, seller briefings, and follow-up
  • Automate the GTM Stack: Build integrations and workflows across systems like Salesforce, Clay, Marketo, sales engagement platforms, enrichment provides, internal data sources, and AI tools
  • Build Agents and Internal Tools: Use LLMs, APIs, webhooks, automation platforms, and scripting to create tools that make sellers and revenue teams faster and more effective
  • Solve Frontline GTM Problems: Partner directly with Sales, SDR/BDR, Marketing Ops, Sales Ops, RevOps, and Demand Gen teams to understand workflow friction and translate business needs into working solutions
  • Prototype and Iterate Quickly: Build solutions, get them into users' hands, measure their effectiveness, and iterate based on real-world feedback
  • Make AI Workflows Reliable: Implement validation, guardrails, human-in-the-loop controls, monitoring, error handling, and other mechanisms needed to move successful prototypes into production
  • Build AI-powered GTM Workflows:
  • Design and deploy agents and automations across lead management, account research, routing, scoring, prioritization, personalization, seller briefings, and follow-up
  • Build integrations and workflows across systems like Salesforce, Clay, Marketo, sales engagement platforms, enrichment provides, internal data sources, and AI tools
  • Build Agents and Internal Tools:

Requirements

  • Experience in Revenue Operations, Sales Operations, GTM Operations, GTM Systems, Revenue Technology, Marketing Operations, or a similar GTM function
  • Strong understanding of B2B revenue workflows including lead management, routing, enrichment, qualification, account prioritization, prospecting, and pipeline generation
  • Experience working with GTM platforms such as Salesforce, Marketo, Clay, Outreach, Salesloft, HubSpot, or similar

Nice to have

  • Experience with SQL, Python, JavaScript, or data warehouses
  • Experience taking AI or automation workflow from prototype through production and adoption

Skills

  • Organizations everywhere struggle under the crushing costs and complexities of "solutions" that promise to simplify their lives.
  • To help them grow.
  • Software is a choice that can make or break a business.
  • Create better or worse experiences.
  • Propel or throttle growth.
  • Business software has become a blocker instead of ways to get work done.
  • There's another option.
  • With a fresh vision for how the world works.
  • Fresh vision.
  • Real impact.
  • Come build it with us.
  • Our buyer signals currently live across Salesforce, Marketo, Outreach, product usage data, intent platforms, and other systems.

Compensation

  • $202k-$250k

Company info

  • At Freshworks, we're introducing AI across our GTM organization to accelerate how we understand buyers and act on revenue signals.
  • We're looking for a GTM operator who is also a hands-on builder-someone who deeply understands how revenue teams work and can turn those problems into AI-powered workflows and systems.
  • At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities.

Visa & Work Authorization

  • You'll have executive sponsorship, high-impact problems to solve, and a blank canvas to help shape how AI is applied across the Freshworks GTM organization

This listing is sourced directly from Freshworks's careers page and normalized into a canonical job model.