Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 44 days ago

AI GTM Strategy Manager

BackOps21 open roles

Where
San Francisco
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI GTM Strategy ManagerBackOps · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on BackOps's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 44 days ago

The posting

About BackOps

Supply chain operations are some of the most complex, high-stakes workflows in any business, and for too long, the teams running them have had to hold it together manually. Missed shipments, cascading exceptions, hours of coordination that pulls people away from the work that actually moves the business forward. The infrastructure hasn't kept up with the complexity.

BackOps is changing that. We build agentic AI that automates the operational work supply chain teams have always had to do by hand: investigating exceptions, coordinating across systems and stakeholders, and driving work through resolution, not by wrapping AI around legacy tools, but by rethinking the infrastructure from the ground up.

We're ~50 people, headquartered in San Francisco, and backed by investors who support category-defining companies early and with conviction: our Series B was led by Insight Partners, with participation from Theory Ventures, Construct Capital, Gradient Ventures, and 10VC. The problem is real, the timing is right, and we're building the team that will define how this space evolves. If you want to do work that matters, with people who take ownership seriously, at a company where what you build becomes the foundation, keep reading.

The Role

We’re hiring our first AI GTM Strategy Manager to build the systems, automation, and data foundation that make our go-to-market organization more effective as we scale.

You’ll sit at the intersection of Sales, Customer Success, and our product and data systems, turning complex GTM workflows into tools that help the team understand accounts faster, identify the right customer problems to solve, move opportunities forward, and clearly demonstrate the value BackOps delivers.

That challenge is particularly interesting at BackOps. We sell into large enterprises with multiple sites, stakeholders, systems, and workflows, where traditional CRM structures and off-the-shelf RevOps playbooks break down quickly. You’ll help us design the infrastructure behind that motion while also building practical, field-facing tools that make the team better today.

One of your first priorities will be building what we call the value ledger: a reliable, continuously updated view of the value BackOps creates for each customer and workflow: from hours saved to claims filed, exceptions resolved, and response times improved. Done well, it becomes a shared source of truth for customer outcomes, renewals, expansion, and storytelling.

This is a hands-on builder role. You’ll work directly with GTM leaders and the field to identify bottlenecks, structure ambiguous problems, prototype solutions, ship quickly, measure adoption and impact, and evolve what works into durable systems.

What You’ll Do

Build leverage for the field

Build tools that give AEs, Solutions Engineers, and CSMs the context they need to act quickly, including account structure, locations, systems, stakeholders, workflows, pilots, and recommended next actions. Create a workflow discovery system that can turn discovery calls, customer SOPs, ticket exports, and other inputs into a structured, ROI-ranked view of automation opportunities. Instrument pilots and POVs so the team can quickly understand progress, adoption, conversion risk, customer value, and what needs attention. Build AI-enabled workflows that reduce administrative work after customer interactions: drafting follow-ups, extracting next steps and product feedback, and proposing CRM updates for review. Surface expansion opportunities by connecting product usage, customer outcomes, account context, and workflow-level signals so the field knows where to go deeper and why.

Build the infrastructure behind it

Design the GTM data model for complex enterprise customers, including parent/account/site relationships, buying groups, workflows, pilots, ownership, and stage logic. Build and maintain the value ledger, connecting product activity and operational outcomes to a defensible view of value realized at the account and workflow level. Create a reusable context layer that powers GTM tooling with trusted information about accounts, stakeholders, product usage, workflows, and recommended actions. Establish data-quality observability across the GTM stack, including completeness, freshness, duplicates, orphaned records, stale ownership, and broken integrations. Partner with GTM leadership on where systems, automation, process, or operating-model changes can unlock greater productivity and scale, not simply where another tool should be added.

At this stage, we expect the role to spend more time building the underlying GTM data and systems foundation, with an increasing portion of time focused on field-facing tooling as that foundation matures.

What You’ll Bring

5+ years of experience across GTM systems, Revenue Operations, technical operations, growth, automation, business operations, or another applied technical role supporting a complex B2B organization. A track record of building things people actually use. You can point to systems, tools, automations, or workflows you shipped, how users adopted them, and how you improved them after launch. Strong technical fluency with SQL, APIs, data models, automation/orchestration tooling, and modern AI-enabled development tools. You don’t need to be a full-time software engineer, but you should be comfortable building rather than only configuring. Strong GTM and commercial judgment. You understand how sellers and customer teams operate, what information changes behavior, and the difference between a technically interesting system and one that actually helps move revenue. The ability to structure ambiguous business problems and translate them into systems, processes, and operating models, not simply execute against a predefined requirements document. Comfort reasoning about complex enterprise data models, including organizations with multiple sites, stakeholders, systems, and workflows. High agency and comfort operating in ambiguity. There is no large RevOps or data organization to hand requirements to; you’ll work directly with the field, form a point of view, build, test, and iterate.

Nice to Have

Experience working in an early-stage or high-growth environment where you helped establish systems before the organization scaled. Experience in supply chain, logistics, manufacturing, or another complex, multi-site enterprise vertical. Familiarity with a modern GTM stack spanning CRM, cloud data infrastructure, enrichment/orchestration, BI, and related tooling. Experience building with or alongside AI agents, copilots, and LLM-enabled workflows rather than only using them as end-user tools. Experience in strategy, consulting, or business operations that strengthened your ability to structure ambiguous GTM problems, paired with demonstrated technical building depth.

This May Not Be the Role for You If

You primarily want to administer a CRM or manage a collection of SaaS tools rather than build systems and workflows yourself. You enjoy data infrastructure but have little interest in how Sales and Customer Success actually operate or make decisions. You prefer long build cycles and highly specified requirements over shipping, testing with users, and iterating quickly. Your default response to a new GTM problem is to buy another tool before understanding whether we can solve it more simply or effectively ourselves. You want a clearly bounded function with established processes, dedicated supporting teams, and a predefined roadmap.

Why BackOps

Be our first AI GTM Strategy Manager and shape the systems, automation, and data foundation behind a rapidly scaling enterprise GTM motion Work directly with GTM leadership and the field to turn real customer and seller bottlenecks into tools that create meaningful leverage Backed by Insight Partners, Theory Ventures, Construct Capital, Gradient Ventures, and 10VC Competitive salary, meaningful equity, and comprehensive benefits

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against BackOps's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on BackOps's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    BackOps's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.