ServiceNow Logo

ServiceNow

Senior Principal Inbound Product Manager, CRM Voice AI

Posted An Hour Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in New York, NY
191K-334K Annually
Senior level
Remote or Hybrid
Hiring Remotely in New York, NY
191K-334K Annually
Senior level
Owns complex enterprise voice AI customer deployments, leading pod product direction from agent design through production and customer handoff. Drives conversational quality improvements including turn-taking, interruption handling, barge-in, endpointing, latency, and LLM orchestration. Partners with platform teams on real-time voice infrastructure and voice-to-voice models, while productizing customer solutions into repeatable industry assets. Requires deep voice AI expertise, telephony integration experience, enterprise technical deployment experience, and 12+ years in product management.
The summary above was generated by AI
Company Description

About the Team:   

CRM Voice AI builds autonomous voice agents for customer service that resolve customer interactions end-to-end and drive significant value for the business. We're a team inside ServiceNow's CRM business unit, shipping production voice AI with enterprise customers today and scaling aggressively. Our agents run on a real-time streaming pipeline with best-in-class ASR, TTS, and LLM orchestration, integrated into the same platform where many of our customers already manage their front, middle, and back-office workflows. For those that don't, the voice agent is often the tip of the spear that brings them in. We compete directly against well-funded AI startups and CCaaS incumbents, and we're winning. 

Job Description

How We Work:   

We work in pods - small, dedicated teams embedded with a single enterprise customer, building their voice agents from first call to self-sufficiency. A pod owns the full lifecycle: agent shadowing, conversation design, build, production go-live, and the handoff that makes the customer self-sufficient so the pod can move on to the next one. Each pod pairs forward-deployed engineers with a product manager who owns both the customer outcome and the product learning that comes from it. 

Every PM on this team runs at least one pod directly and has visibility across others. You're in the customer's world - on their calls, in their systems, solving their problems - while simultaneously shaping what the product becomes. The learnings from your pods feed directly into the platform roadmap and into repeatable, productized assets that scale beyond any single customer. 

What This Role Owns:   

  • You run one pod directly - one of our most complex customer engagements - and float across two others, providing product direction and unblocking teams. But the pod work is only half the job. 
  • Your primary technical focus is the conversational experience itself: dialog quality, turn-taking, interruption handling, barge-in behavior, and endpointing. You collaborate directly with the platform voice team on voice pipeline innovation, the low-latency infrastructure that makes a voice agent feel like a conversation rather than a bot reading a script. When the platform team is making stack decisions about real-time streaming, LLM orchestration, or voice-to-voice model integration, you're in the room with production customer data and real-world edge cases that no one else has. 
  • You also own an industry vertical. As we scale across customers, you evaluate which patterns, intents, and conversation flows can be productized into out-of-the-box voice content for a specific industry. You're turning one-off wins into repeatable assets, and you have the customer exposure to know which abstractions actually hold. 

Why This and Not Somewhere Else:   

You're not choosing between startup speed and enterprise scale. You get both. This team ships voice AI in production with real enterprise customers, with the same urgency and ownership you'd find at a startup, backed by a platform that supports 85% of the Fortune 500. You have a direct seat at the platform table, influencing voice infrastructure decisions with data from your own deployments. This role puts you in a customer's contact center debugging a live voice agent one day and shaping platform architecture decisions the next. That combination is rare, and it's why this team exists. 

Qualifications

What You Bring:   

  • 12+ years of product management experience, with recent hands-on work shipping voice AI or conversational AI products. What you've shipped in the last 12-18 months matters more than total years. 
  • Fluency with the voice stack: ASR, TTS, streaming pipelines, latency optimization, endpointing, barge-in, turn-taking. You've made real tradeoff decisions here, not just evaluated vendor demos. 
  • Experience with telephony integration: SIP, call transfers, IVR systems, or CCaaS platforms. 
  • Experience working directly with enterprise customers on technical deployments - not from a distance, but in their environment, on their calls, solving their problems. 
  • Strong opinions on what makes a voice conversation feel human, backed by experience building or evaluating conversational systems. 
  • Technical depth in LLM orchestration for real-time conversational use cases. 

Even Better:   

  • A track record of productizing customer-specific solutions into repeatable, industry-level assets. 
  • Industry expertise in verticals with high contact center volume: telecommunications, financial services, travel, healthcare. 
  • Experience defining voice-specific evaluations such as task completion, latency, transcription accuracy, and conversational quality. 

Additional Information

For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

ServiceNow Waltham, Massachusetts, USA Office

275 Wyman Street, 2nd Floor, Waltham, MA, United States, 02451

Similar Jobs at ServiceNow

Yesterday
Remote or Hybrid
150K-262K Annually
Senior level
150K-262K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads complex enterprise AI deployments and high-stakes go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, establishes quality standards, captures reusable deployment knowledge, and partners with product and engineering teams. The role requires hands-on software development, customer-facing communication, AI and GenAI integration, prompt engineering, and production delivery experience.
Top Skills: Ai AgentsGenerative AiJavaJavaScriptNow AssistPrompt EngineeringPython
Yesterday
Remote or Hybrid
221K-387K Annually
Entry level
221K-387K Annually
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and productionize AI agents, assistants, models, and reusable skills for Armis and its customers. Rapidly develop MVPs, collaborate with engineering to harden systems, and implement rigorous evaluations for quality, safety, and reliability. Design secure agentic workflows with guardrails and isolation, select appropriate frameworks and models, establish reusable AI development practices, consult across the organization, and document solutions for operation and evaluation.
Top Skills: Ai AgentsAPIsAWSAzureClaude SdkDockerGoogle Ai SdkGoogle Cloud PlatformKubernetesMulti-Agent SystemsOpenai SdkPythonRetrieval-Augmented GenerationSkill.Md
Yesterday
Remote or Hybrid
221K-387K Annually
Entry level
221K-387K Annually
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production-grade AI agents, assistants, models, and reusable skills. Develop secure agentic workflows with guardrails, isolation, and controls; integrate frameworks, tools, APIs, cloud services, and models; establish rigorous evaluation metrics for quality, safety, and reliability; rapidly prototype solutions and partner with engineering to harden them for production. Document solutions and contribute to AI Center of Excellence consulting and best practices.
Top Skills: AWSAzureClaude SdkDockerGCPGoogle Ai SdkKubernetesOpenai SdkPythonSkill.Md

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account