Valence Logo

Valence

Associate, RevOps

Posted 17 Hours Ago
Be an Early Applicant
Hybrid
New York, NY, USA
Mid level
Hybrid
New York, NY, USA
Mid level
Build and maintain the GTM revenue infrastructure: design processes, own Salesforce/HubSpot configuration, create AI-powered workflows and automations (using Claude Code, Clay, n8n), run enrichment and dedupe, ensure data integrity across systems, produce reporting and insights, and partner with marketing/sales/CS on demand generation and attribution. Document automations and maintain runbooks for scale.
The summary above was generated by AI

About Valence

We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means building the team behind one of the fastest-growing companies in enterprise AI. You'll recruit across GTM and technical roles for a business trusted by the likes of Coca-Cola, Delta, and Bristol Myers Squibb; partnering directly with leadership, owning your process end-to-end, and shaping who gets to define what AI-first transformation looks like. The bar is high, and you'll be the one who holds it.

The Role

This is not your typical RevOps role. As the third hire working directly with our Head of Revenue Operations, you'll architect, build, and maintain our revenue infrastructure through a period of hyper-growth — and turn that infrastructure into leverage by building AI-powered, automated GTM systems.

One half of the job is operator: designing the processes, reporting, and clean systems that let marketing, sales, and CS run fast. The other half is builder: using Claude Code, Clay, n8n, and adjacent tools to turn raw GTM data into personalized, scalable pipeline. There's no rigid roadmap here — just ambitious goals and the freedom to shape how we achieve them. We’ve seen consistent 3x revenue growth year over year, and you'll be instrumental in making it happen again.

What You'll Do
  • Build the revenue engine. Design and implement scalable processes to improve funnel conversion, objection handling, and pipeline management across marketing, sales, and CS. Own declarative config and reporting in Salesforce and HubSpot (objects, fields, flows, page layouts, approval processes), and keep the broader stack clean, integrated, and efficient.

  • Orchestrate AI personalization. Build and maintain AI-powered workflows for outbound, event engagement, CS expansion signals, and pipeline hygiene — within brand and voice guardrails.

  • Run enrichment in Clay. Design canvases for enrichment, ICP/fit scoring, and dedupe. Own provider waterfall logic, and ensure clean inputs and outputs across Salesforce, HubSpot, and the warehouse.

  • Be the single source of truth. Coordinate the flow of data across our systems — third-party and bespoke alike — to minimize duplicate records and give Marketing, Sales, and CS data they can trust.

  • Automate the platform. Build and operate non-Salesforce automations for routing, task creation, and signal-driven plays, with robust error handling, retries, and alerting — and help automate workflows across the company as we scale.

  • Analyze and report. Monitor key metrics, build clear reports, and surface actionable insights that drive decisions across GTM.

  • Drive demand gen and attribution. Partner with marketing on our event-based strategy by enriching, qualifying, and organizing lists of prospects and buyer signals.

  • Keep it reliable and documented. Keep automations current as systems evolve, and maintain runbooks so your builds are easy to share and onboard against.

What Success Looks Like
  • Own the stack. Autonomously maintain our GTM tech stack — third-party tools (Salesforce, HubSpot, Clay, Gong, and more) plus the bespoke tools built on top — and use it as a data source for new workflows, automations, and tools the GTM teams can act on.

  • Shape the function. Be a thought partner to the Head of RevOps as the role evolves in the age of AI.

  • Be the source of truth. Become the definitive source for GTM reporting — marketing KPIs, sales success criteria, and CS client health — and pull leadership-ready reports on the metrics that matter most.

What We’re Looking For
  • 3+ years in RevOps, GTM/sales engineering, investment banking, or a similarly demanding analytical environment

  • Strong analytical skills, with proficiency in Excel/Google Sheets

  • Technically hands-on and tool-curious — you've built in tools like Clay, n8n, and Claude Code, and you're comfortable wiring up APIs and automations

  • Comfort with AI/LLM tooling and prompt engineering — you get reliable output from models and design sensible human-in-the-loop checks

  • Working knowledge of CRM and marketing automation platforms (Salesforce and/or HubSpot)

  • Excellent written and verbal communication

  • Exceptional attention to detail and a proven ability to manage multiple priorities

  • Growth mindset and a willingness to learn through feedback

  • Clear motivation to join a Series A startup focused on generative AI, LLMs, and ML

Nice to have
  • Built marketing/sales attribution models or multi-touch reporting from raw data

  • Operated in a dual-CRM environment (Salesforce ↔ HubSpot), including sync, dedupe, and field-mapping

  • Deep experience with Clay or comparable enrichment tooling (provider waterfalls, complex canvases)

  • Familiarity with Gong or other conversation-intelligence tools as a data source

  • Early or founding RevOps hire experience — you've stood up the function, not just maintained one

  • Production experience with n8n, Zapier, or similar orchestration platforms

What you’ll get
  • Ownership & Rapid Growth

  • Outsized missions from day one, with direct responsibility for company-defining projects

  • Work alongside the executive team with transparency into strategy and decision-making

  • Influence on direction through real-time customer feedback and market insights

  • AI-First Operator

  • Work directly with cutting-edge AI models and next-generation platforms

  • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries

  • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale

  • Compensation

  • Competitive salary including base + bonuses

  • Comprehensive health coverage (medical, dental, vision) from day one

  • Generous PTO, company-wide R&R shutdowns, and paid parental leave

  • Retirement plan support for US and global employees

  • Equity

  • Meaningful ownership in a venture-backed company at a growth inflection point

  • Financial upside that comes from scaling fast

  • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact

  • Top-Performing Culture

  • A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together

Learn more about us and meet our team here

HQ

Valence New York, New York, USA Office

90 Park Ave 27th floor, New York, NY, United States, 10016

Similar Jobs

An Hour Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
97K-138K Annually
Junior
97K-138K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
Sell Zscaler cloud-native Zero Trust solutions to commercial/private equity accounts. Build C-suite relationships, create long-term account strategies, collaborate with internal teams, act as trusted advisor, and drive net-new logo acquisition and quota attainment through direct and channel selling.
Top Skills: Cloud-NativeZero Trust ExchangeZscaler
An Hour Ago
In-Office
New York, NY, USA
100K-250K Annually
Mid level
100K-250K Annually
Mid level
Fintech • Payments • Financial Services
Design, build, and maintain highly reliable, observable production services. Automate operations, performance-tune cloud deployments, own incident response/on-call, mentor engineers, and improve system reliability and scalability.
Top Skills: AWSAzureDatadogDockerEc2GCPGoKubernetesRustTerraform
An Hour Ago
In-Office
New York, NY, USA
150K-250K Annually
Mid level
150K-250K Annually
Mid level
Fintech • Payments • Financial Services
The Strategic Finance Lead will build financial models, support fundraising, manage cash planning, conduct market analysis, and collaborate across teams to optimize financial insights.
Top Skills: Bi ToolsExcelGoogle SheetsSQL

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account