招聘
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
The Role
We're hiring a seasoned Revenue Operations leader who moves fast, thinks from first principles, and measures themselves on unlocking performance in our GTM organization.
Hightouch has grown from 10 to 50+ account executives in under two years. That kind of growth creates complexity — in territories, in pipeline, in forecasting, in comp — and we need someone who can cut through it quickly, surface what actually matters, and iterate their way to better answers. This is not a role for someone who optimizes existing playbooks. It's for someone who questions whether the playbook is right in the first place and drives real impact on our revenue teams as a result.
This role reports to our CFO and CRO. You'll be hands-on-keyboard from day one while also building the foundation for how Rev Ops scales at Hightouch.
What You'll Do
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Drive fast, data-driven decision-making with sales leadership and the executive team. Surface insights by having a point of view and pressure-testing it quickly with data.
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Own pipeline and funnel analysis with a bias toward action. Identify anything broken, deeply understand it, propose a fix, ship it, learn from it, repeat. We move in days, not quarters.
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Lead territory management as a living system. Continuously reassess coverage and help us read market signals to tweak our ICP and messaging.
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Design and implement compensation plans that shape behavior. Align plans with company strategy, build buy-in, and deploy at scale.
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Connect dots across marketing, finance, pre-sales, post-sales, and the exec team. Rev Ops at Hightouch is a vital connective function – your ability to surface information and collaborate across these groups will make you indispensable.
Who You Are
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You've been in high-growth, high-velocity environments with 50+ AEs, ideally at companies that sell enterprise software at multi-$100K or $1M+ price points through direct outbound and partnerships. You know how complex this motion can be and you've learned how to navigate it and prioritize what matters.
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You think about revenue from first principles. When something isn't working, you don't reach for an industry framework first: you ask why it's not working, build a hypothesis, and test it. You're comfortable holding a view loosely and updating it fast. You also want to learn Hightouch deeply and are excited to build Rev Ops infrastructure that fits, not just to apply what worked at your last company.
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You have a bias toward iteration over perfection. You'd rather ship an imperfect analysis that moves a decision forward than spend two weeks on a polished deck that arrives too late. You've built cultures around this mentality, not just practiced it yourself.
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You've used data, comp, and visibility to change behavior. You've redesigned incentive structures mid-cycle when they weren't driving the right outcomes, and you've been willing to make the case for uncomfortable changes.
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You're a clear, direct communicator. Sales leaders and executives trust you because you tell them what you actually think, not what they want to hear. You can explain a nuanced revenue problem without burying the point.
The salary range for this position is $240,000 to $325,000 per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
**Right to Work Notice (Spanish)
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关于Hightouch

Hightouch
BootstrappedInbound marketing consulting and services; focusing on opt-in email marketing, SMS marketing, social media, and blogging.
1-50
员工数
Colorado Springs
总部位置
评价
3.9
20条评价
工作生活平衡
4.0
薪酬
4.3
企业文化
3.7
职业发展
4.1
管理层
3.7
76%
推荐给朋友
优点
Good work-life balance and flexible environment
Competitive compensation and benefits
Opportunity for career growth
缺点
Work-life balance varies by team
Room for improvement in processes
Internal communication could improve
薪资范围
35个数据点
Junior/L3
Mid/L4
Junior/L3 · Technical Account Manager
0份报告
$175,875
年薪总额
基本工资
-
股票
-
奖金
-
$149,493
$202,257
面试经验
46次面试
难度
3.2
/ 5
时长
14-28周
录用率
35%
体验
正面 67%
中性 21%
负面 12%
面试流程
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
常见问题
Technical skills
Past experience
Team collaboration
Problem solving
新闻动态
[Hiring] Analytics Engineer - Hightouch | Remote (North America) | Full-Time | $170,000 - $220,000
## **About Hightouch** Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these
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