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Revic

Forward Deployment Engineer

Sorry, this job was removed at 02:08 p.m. (EST) on Tuesday, Dec 09, 2025
In-Office or Remote
2 Locations
In-Office or Remote
2 Locations

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About Revic

Great sellers are the lifeblood of every business. They build relationships, understand needs, and close deals that drive growth. But too often, they're buried under administrative work, disconnected tools, and processes that pull them away from what they do best—selling.

We believe salespeople deserve better. They deserve technology that works for them, not against them.

Revic is an AI-native sales acceleration engine built to uplift sales professionals. We handle the complexity—analyzing data, identifying opportunities, triggering the right workflows—so reps can focus on the human side of sales. The conversations. The relationships. The moments that matter.

Our platform learns what's working, defines who to sell to, and gives reps the context they need to move with confidence and precision. It removes the friction that slows them down and amplifies their natural strengths.

Sales will always be human. Revic exists to make sure it stays that way—by letting AI handle everything else.

Why This Role Exists

Revenue teams spend 70% of their time on meta-work instead of selling. We’re fixing that with AI agents built on a collective memory — connecting messy, real-world data into context that drives autonomous action.

Now we need someone who can work directly with our customers and our code — a builder who loves solving impossible-sounding problems and turning chaos into clarity.

This role sits at the heart of Revic’s growth. You’ll shape our customer journey, define our success playbooks, and partner directly with leadership, engineering, and GTM to make every Revic deployment a success story.

Your Mission
  • Deploy & Integrate: Work with all Revic customers to ensure successful implementation. Own the technical onboarding and deployment process for all customers — connecting CRMs, external data sources, and Revic’s AI platform to make the magic.

  • Collaborate & Ship: Work side-by-side with Product and Engineering to turn customer pain points into product improvements.

  • Automate & Scale: Build repeatable deployment and support frameworks that make onboarding the next 100 customers smoother and smarter.

  • Advise & Educate: Translate technical capabilities into value for GTM and customer success teams — and help customers get real ROI from AI.

  • Diagnose & Solve: Dive into real customer problems and invent AI Native solutions for them


You belong here if….
  • You’re customer-obsessed. You love partnering directly with customers & users — listening deeply, iterating fast, and delivering real impact.

  • You live at the intersection of AI and systems. You’ve worked with (or are deeply curious about) AI agents, LLMs, or intelligent automation — and you know that real magic happens in production, not just prototypes.

  • You’re technically fluent. Strong SQL, solid Python, and a comfort with getting hands-on in the data.

  • You’re autonomous and scrappy. You don’t wait for permission — you spot problems, fix them, and improve what’s around you.

  • You learn faster than most. New tools, systems, or business domains don’t intimidate you — they energize you.

  • You bridge worlds. You communicate clearly with both technical and business audiences, keeping projects aligned and moving.

  • You thrive in ambiguity. Fast-moving, high-velocity environments bring out your best judgment and calm under pressure.

  • You balance urgency with craftsmanship. You know when to move fast — and when excellence really matters.

  • You care about impact. You’re motivated by seeing your work change customer outcomes in the real world.

  • You turn chaos into order. You’ve wrangled messy, real-world data (CRM, email, or public sources) into structured, useful systems.

  • You’ve shipped before. 4–7 years of engineering or technical deployment experience — ideally with customer-facing work where success meant the system worked in the wild.


Thriving at Revic

This IS for you if:

  • You want to look back in 5 years and say “Damn! I helped build that.”

  • You’re comfortable with ambiguity and can juggle multiple priorities

  • You can translate between engineers and executives with equal fluency.

  • You’re excited about shaping a product and a company from the ground up.

  • Comfortable wearing multiple hats in a fast paced environment and be our customers favourite person and our engineers BFF


Logistics & offer

💰 Competitive base + meaningful equity (we're not another 0.001% shop)

🏥 Premium health, dental, vision - we take care of our people

📍 Location - SF (hybrid), USA remote

🏝️ Offsite - We trade slack for sunshine, every quarter we meet in-person

🚀 The intangibles:

  • Learn faster than any course could ever teach you — from real data, real users, real stakes.

  • See your work shape how billion-dollar revenue teams operate.

  • Build across boundaries: part engineer, part product thinker, part problem solver, part customer advocate.

  • Grow at startup speed — the kind of trajectory you can’t find in big-company comfort zones.

  • Shape Revic’s customer success motion from day zero — and watch it scale with the company.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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