Location: Mountain View, CA onsite
Reports to: VP of Marketing
About Level AI: Level AI is a Series C AI company based in Mountain View. We build the platform that turns contact center conversations into intelligence the rest of the business can act on. Quality, analytics, coaching, automation, and AI agents all run on the same customer data.
Role Overview: This role builds and runs the engine that feeds our pipeline. You'll hire, coach, and scale a team of SDRs turning cold outbound into qualified meetings with enterprise CX and contact center leaders, at a moment when those buyers are rebuilding their stack around AI.
Why join us:
Build the team, not just run it. You're not inheriting a playbook—you're writing it. Hire the reps, design the process, decide what a great SDR looks like here.
A direct line to leadership. You'll work onsite with our CEO, CTO, and go-to-market leaders. Your team's results are visible, and so is your judgment.
High agency, low bureaucracy. We move fast and reward agency and bias to action. Bring an idea for a new segment, a new comp structure, a hosted event, and you can run it that week. Ownership and curiosity get rewarded, not routed through committee.
Build and shape careers. Take hungry SDRs, coach them through their first meetings, first opportunities, first promotion, and watch them become AEs. We build SDR-to-AE careers here, and want a manager who is excited to influence individual careers.
The right market, the right time. Enterprise buyers are rebuilding their contact centers around AI right now. Leading a team selling into that shift early will compound for the rest of your career.
What you'll do:
Hire, onboard, and coach a team of SDRs into consistent pipeline producers
Set the KPIs—activity, meetings booked, pipeline sourced; ensure targets are consistently met
Design and sharpen outbound and inbound sequences based on what the data says is working
Partner with Marketing on lead quality, campaign strategy, and messaging
Run regular call reviews, email reviews, and live coaching
Track and analyze SDR team performance; report on pipeline impact to Sales leadership
Build the promotion path: identify who's ready for AE and get them there
Own the SDR playbook and the tooling stack behind it
Champion a culture of accountability, learning, and high performance
What we're looking for:
3+ years managing SDR or Business Development teams, ideally in a B2B SaaS environment
Proven track record of exceeding pipeline and meeting-setting goals
Strong coaching, mentorship, and leadership skills
Deep understanding of outbound prospecting best practices (phone, email, LinkedIn, social selling)
CRM and sales engagement tool expertise (e.g., Salesforce, Apollo, Gong, ZoomInfo)
Strong data orientation — comfortable using metrics to drive decisions
Excellent communicator, highly organized, and detail-oriented
Thrive in a fast-paced, early-stage environment
Experience in Enterprise SaaS or AI-focused companies
Background in building SDR-to-AE career paths
Familiarity with Account-Based Marketing (ABM) strategies
Preferred:
Perks & benefits:
Health, vision, and dental coverage
Flexible PTO
Catered lunch twice a week, plus team dinners and offsites
Parental leave
401(k)
Compensation: Market-competitive, based on your experience and skill set.
Level AI Mountain View, California, USA Office
Mountain View, CA, United States, 94043
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
