• Partnered with enterprise brands like Google, AAA, Ro, Coursera
• Raised $82M (top tier investors including Emergence & Homebrew)
• Completed 250MM+ calls
• Driven $7B revenue for customers
• Scaled to $## ARR
• Built amazing NYC (NoMad) in office culture

About The Role As Manager, Forward Deployed Engineer at Regal, you’ll lead customer launches and guide a team of Forward Deployed Engineers responsible for bringing our AI Agents to life in production. Each customer deployment is a fast-paced, high-impact product launch. You’ll own the technical strategy, orchestrate execution across teams, and ensure every customer sees value from Regal within their first two weeks.

You’re equal parts technical architect, product thinker, and player-coach. You can write code, lead customer workshops, and coach junior FDEs through complex integrations. You’ll set the standard for how Regal brings AI voice agents into the wild, balancing speed with excellence, and helping us scale our implementation motion as our customer base grows.

If you thrive on translating business goals into technical roadmaps, managing competing priorities, and building repeatable processes, this is your chance to shape the foundation of Regal’s Forward Deployed Engineering team!

Responsibilties

• Own end-to-end delivery for new customers, from kickoff to go-live
• Oversee multiple launches at once, ensuring quality, velocity, and customer satisfaction
• Define success metrics and ensure each AI Agent drives measurable business outcomes
• Design and implement integrations via APIs, webhooks, and middleware scripts that connect Regal to customer systems (CRM, telephony, data pipelines, etc.)
• Partner with internal AI and Product teams to configure and QA the customer’s voice agent experience
• Coach and guide a small team of Forward Deployed Engineers, reviewing work, unblocking challenges, and helping prioritize customer and internal initiatives
• Act as the escalation point for complex technical issues and executive-level customer conversations
• Partner closely with Product, AI, and Customer Success teams to feed insights from customer deployments into product roadmaps and voice model improvements
• Help define and continuously refine Regal’s playbook for implementation excellence
• Analyze post-launch performance metrics to inform A/B testing and iterative improvements to agent performance
• Identify deployment patterns to propose new features or automation opportunities that improve efficiency
• Expect to travel :1 week per month for key customer launches, executive reviews, or cross-functional workshops

About You

• 4–6+ years in a technical, customer-facing role (Forward Deployed Engineer, Solutions Engineer, or Implementation Lead) or a Product/Technical Program Manager role in a tech-driven environment
• Strong working knowledge of APIs, data flows, and light-coding experience (JavaScript, Python, or similar)
• Commercially aware, you understand how great deployments unlock renewals, expansions, and customer advocacy
• Experience designing or managing enterprise integrations
• Proven ability to lead projects and people, balancing customer urgency with long-term scalability
• Strong project management instincts with a knack for simplifying complexity and driving accountability
• “No task too small” mindset, you’re hands-on when needed, but equally comfortable delegating and setting direction
• Excited by Voice AI, automation, and the future of customer experience

Benefits/Perks

• We care about your health!
• Medical, Dental, and Vision plans - 80% covered by the company
• Flexible PTO & 11 paid holidays/year
• Subsidized ClassPass membership
• We care about future you!
• 401k Plan
• Paid parental leave
• Pre-tax commuter benefits
• We care about connection!
• In-office breakfast and snacks daily
• Happy hours, team outings, & annual off-sites
• Complete laptop workstation
• & more to come!

POSITION LOCATION & OFFICE DETAILS: This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and office optional M/F.

• If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it), we want to hear from you!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.