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Principal Technical Program Manager

  • Remote
  • 6+ years

Salary

$180,000 - 220,000/ year

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Description

Company Overview

At the company, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Department Overview

The company' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights.

Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making.

Reporting to the VP of AI for the company, the Principal Technical Program Manager- Voice AI will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale AI products and solutions. They will be responsible for driving the strategy and measurable success of our core Artificial Intelligence efforts. This role is pivotal in managing the lifecycle and adoption of central AI models for speech and language understanding (ASR, TTS, translation, LLMs and others) and the foundational AI infrastructure built by our organization and consumed by downstream product teams for their features. This includes building enterprise-scale cloud and edge AI platforms, ensuring that our AI investments translate into quantifiable, improved customer outcomes.

Responsibilities

  • The Principal TPM of Voice AI will own the strategy, definition, and execution of programs across the following core areas:
  • End-to-End AI Feature Delivery: Drive and coordinate efforts across the central AI organization and all dependent product teams to ensure the seamless, end-to-end delivery of AI features in the area of Voice AI such as building voice and language understanding based models and services and agents for products that demonstrably deliver value for our end customers.
  • AI Impact Tracker & Baseline: Work across various product teams to define and implement ways to establish and measure a systemic link AI model performance and customer outcomes. This includes baselining current customer impact and owning the program to drive measurable, continuous improvement in AI effectiveness.
  • AI for Developer Practices: Drive strategic programs to integrate AI/ML into our internal software development lifecycle, tracking adoption, evangelizing best practices, and reporting on the impact of these tools on engineering velocity and quality.
  • Organizational Performance Management: Design, implement, and maintain a high-value, executive-facing dashboard that tracks all key AI impact metrics, development efficiency metrics, and overall organizational goals. Managing the data fidelity and reporting accuracy is a core responsibility.
  • Cross-Functional Alignment & Impact Communication: Own the organizational mechanism for driving transparency and alignment with partner product teams. This includes regularly presenting the status of core AI metrics, communicating strategic research initiatives to move those metrics, tracking progress, and quantifying the actual impact delivered to stakeholders and customers.
  • Emergent Strategic Initiatives: Provide immediate program management and definition for critical projects. This is a dynamic responsibility that may involve:
  • Bringing initial definition to highly ambiguous product concepts.
  • Conducting early-stage customer/partner discovery.
  • Ensuring these initiatives are properly prioritized, staffed, and smoothly transitioned to a dedicated Product Manager (PdM) once scoped.

Requirements

  • 10+ years of technical program management experience, with significant time spent leading complex, cross-functional programs in AI/ML research and platforms.
  • Technical Acumen: Deep understanding of AI and Machine learning, preferably speech and models and LLMs, Machine Learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. A background in computer vision and/or voice technologies is a significant plus..
  • Ability to engage in technical discussions with engineering teams, understand key concepts and provide guidance and support
  • Metrics Expertise: Proven experience defining and implementing metrics frameworks (KPIs, OKRs) to measure the success of core technology platforms and drive organizational change and accountability.
  • Strong analytical skills, with experience working with AI performance metrics (e.g. Precision/Recall), real-time video processing, and inference optimization.
  • Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely.
  • Excellent oral and written communication skills, with the ability to present ideas, roadmap elements, and business cases to both technical and non-technical stakeholders.
  • Customer-focused with a track record of building strong relationships and understanding customer needs
  • Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.
  • Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives.
  • Target Base Salary Range: 180,000 - 220,000 USD
  • Consistent with the company values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
  • Note: Candidates must reside in a US state within the Eastern Time Zone (ET).
  • LI-MP2
  • LI-REMOTE
  • Basic Requirements
  • 10+ years of technical program management experience
  • AND 3 + years of experience of hands on work as an individual contributor building models, ML pipelines or developing core speech algorithms or systems in speech or other domains or working as a software engineer in a data oriented product.
  • AND 3+ years of hands-on experience as an individual contributor in machine learning modeling, production ML pipelines, speech processing algorithms, or software engineering for data-oriented products.
  • Travel Requirements
  • Under 10%
  • Relocation Provided
  • None
  • Position Type
  • Experienced
  • Referral Payment Plan
  • Yes
  • Our U.S. Benefits include:
  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

Where you’d work

Fully remote

You can work from

  • United States
  • Georgia

No relocation

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 18 checks run
  • 8 good signs
  • 0 red flags

Still hiring?

12 checks

Actively hiring

In its favour5

  • Still on the company's own careers site, checked 2 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • The company opened 84 roles and closed 80 in the last 2 weeks: hiring is movingModerate evidence
2 moreFewer
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • A tight salary range, set for one seat: $180K to $220KSlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for 10+ years: a narrow poolModerate evidence
  • Remote within Georgia onlySlight evidence

Fits Me

How well does this role fit you?

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • LLMs
Seniority
Principal
Type
Full-time
Equity
Equity offered
Specialty
Project Manager
Region
United States
Show 7 more factsShow less

Role

Category
Product & Project
Specialty
Project Manager
Seniority
Principal
Experience
10+ years
Tech stack
  • LLMs

Location

Work model
Remote
Region
United States
Remote from
  • United States
Relocation
Not offered

Compensation

Salary
$180,000 - 220,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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