Invoca
Senior Product Manager, Data Platform & Intelligence
- Los Angeles, California
- Remote
- full time
- $139k–$200k/year
- Posted today
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About the role
About Invoca
Invoca is the leading AI-native platform that enables marketing, sales, customer
experience, and contact center teams to understand and act on the information
within every customer interaction. By revealing intent across voice, SMS, and
digital channels, Invoca helps enterprises drive better customer experiences,
increase revenue, and operate with confidence at scale.
We are a fast-growing company with a strong product culture, deep technical
ambition, and a commitment to building AI systems that are reliable,
transparent, and outcome-driven.
Own the Layer That Makes AI Work in Production — and the Intelligence Products
Built on Top of It
In AI, the model is a commodity. The context is the moat.
Invoca sits on one of the richest datasets in enterprise SaaS — millions of
revenue-driving customer conversations across industries, channels, and buying
journeys. The Data Platform team turns that data into the context layer that
powers our AI agents and into intelligence products that customers and internal
teams use to make better decisions.
This is a dual mandate: build the foundation that makes every AI product at
Invoca smarter, and build the intelligence products — signals, scores, and
insights — that create direct, measurable value for paying customers.
Every AI product Invoca ships runs on what this team builds. This is a rare
opportunity to own infrastructure that determines whether AI agents work in the
real world, and the intelligence products that turn that data into revenue.
About the Role
As Senior Product Manager, Data Platform & Intelligence, you will own the
roadmap and execution for Invoca's data and context layer and the intelligence
products that sit on top of it.
This is not a single-feature role. You'll be working across a technically
complex, dependency-heavy domain — owning the pipelines that feed AI agents, the
scores and signals that customers pay for, and the data applications that teams
across Invoca depend on. The most important decisions in this role live at the
boundary between data infrastructure and product experience.
You will operate as a senior individual contributor reporting to the VP of
Product, with broad influence across AI engineering, data science, and product
teams — and a direct line to new revenue through the intelligence products you
define and launch.
You Will
* Own the end-to-end roadmap for Invoca's data platform and intelligence
productsÂ
* Define and launch intelligence products — signals, scores, and insights —
that create measurable value for both internal teams and paying customers
* Define how context is structured, staged, and delivered to AI agents across
voice, SMS, and web — ensuring every interaction is grounded in the right
data at the right time
* Own the intelligence and data products that other teams and customers use to
build unique experiences on top of Invoca data
* Drive cross-team execution across teams working on the agentic platform,
conversational AI products on voice and SMS, signals, and insights — managing
dependencies, driving prioritization, and keeping work unblocked
* Build data applications and agents on our data lake that power product use
cases across the business — from agent performance measurement to customer
outcome analytics
* Partner with data engineers and ML teams to make principled tradeoffs across
data freshness, coverage, latency, and cost
* Define success metrics for data products and continuously measure impact
through adoption, coverage, agent performance, and quality signals
* Evaluate build vs. buy decisions for data infrastructure and guide vendor
integrations behind stable, well-defined contracts
* Stay current on advancements in retrieval, grounding, and context injection
patterns — translating signal into pragmatic product decisions
You Have
* 5+ years of product management experience, with meaningful time in data
platforms, AI infrastructure, analytics products, or intelligence products
* Technical fluency sufficient to partner closely with data engineers and AI
teams — comfortable in architecture discussions, familiar with data modeling,
pipeline design, and schema evolution
* Hands-on experience working with data lake or data warehouse platforms (e.g.,
Snowflake, BigQuery, Redshift, or similar) — you understand how data products
are built, governed, and consumed at scale
* Experience building intelligence products — signals, scores, insights, or
recommendations — that both internal teams and external customers depended on
* Familiarity with evaluation approaches for data-driven AI systems — you have
a point of view on how to know whether a context or signal pipeline is
actually working
* Experience in enterprise SaaS or compliance-heavy domains where data
governance, auditability, and multi-tenant isolation are core design
constraints, not afterthoughts
* Strong execution ownership — you drive prioritization, own cross-team
dependencies, and unblock your team without waiting to be asked
* Ability to move fast with imperfect information — this is a fast-moving AI
environment; the bar is calibrated judgment, not perfect context
* Clear communicator who can translate complex data and AI concepts for both
engineering and business stakeholders without losing precision on either side
* Track record of making principled tradeoffs across data quality, latency,
cost, and reliability in complex systems
* Bachelors or Masters Degree in Computer Science, Data Science, or Business
Administration or other related field
Â
📍 Location This is a remote-first role. We are currently hiring in the
following locations: 📍
United States:Â Greater Los Angeles Area (including Santa Barbara and San Diego)
· SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area
Canada:Â Toronto (AI/ML technical roles only)
Candidates must be based within ~2 hour drive of these areas. Occasional
business travel may be required.
Please note that we are unable to provide initial visa sponsorship for this
position.
SALARY, BENEFITS & PERKS:
At Invoca, all new hires in the U.S. receive benefits starting on day one of
employment. Our benefits offerings include:
Please note that benefits for teammates outside the U.S. may vary in accordance
with their country’s laws and regulations.
* Flexible Time Off – We encourage a healthy work-life balance. Our flexible
paid time off policy allows you to recharge and take time away as needed.
* Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter
break, giving you ample opportunity to refresh and spend time with friends
and family.
* Health Benefits – Our healthcare program includes medical, dental, and vision
coverage, with multiple plan options so you can choose what works best for
you and your family. Fertility assistance is also included.
* Retirement – Invoca offers a 401(k) plan through Fidelity with a company
match of up to 4%.
* Stock Options – All employees are invited to share in Invoca’s success
through stock options.
* Mental Health Program– Well-being support on a broad range of issues is
available through our SpringHealth program.
* Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby
bonding, adoption, and caring for family members.
* Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for
childbirth and medical needs.
* InVacation – As a thank-you to our long-term team members, we offer a bonus
after 7 years of service.
* Wellness Subsidy – We provide a subsidy that can be applied toward gym
memberships, fitness classes, and more.
* Position Base Range -Â Salary Range $139,000 - $200,000 plus bonus + equity
Diversity, Equity & Inclusion
Invoca is committed to building an inclusive culture that values diverse
perspectives and experiences. We are proud to be an equal opportunity employer
and do not discriminate based on race, color, ancestry, religion, gender
identity, sexual orientation, age, or disability.
#LI-Remote
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Skills
- Product Management
- Data Platforms
- AI Infrastructure
- Data Modeling
- Pipeline Design
- Data Lake
- Data Warehouse
- Snowflake
- BigQuery
- Redshift
- Conversational AI
- Data Governance
- Cross-team Execution
- Strategic Prioritization
- Technical Architecture
- Stakeholder Management
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