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Intelligen information
What is the difference between Intelligen vs Data Analyst?
| Aspect | Intelligen | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a background in data science, statistics, or related fields; certifications like SQL, Python, or data analysis courses are common. | Often requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common. |
| Work Environment | Usually works in tech companies, consulting firms, or data-driven industries, often in collaborative teams. | Works across various industries including finance, healthcare, marketing, often in office settings. |
| Employer & Industry Usage | Used by companies focusing on data-driven decision making, analytics, and AI solutions. | Commonly employed in organizations analyzing business data, reporting, and insights generation. |
Intelligen and Data Analyst roles share overlapping skills in data handling and analysis, but Intelligen often emphasizes AI and machine learning integration, while Data Analysts focus more on reporting and descriptive analytics. Both roles are vital in data-centric industries, with similar credentials and work environments.

Job description
Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence-linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.
The Role
We are hiring a Forward Deployed Engineer (FDE) to operate at the critical boundary between customer ambition and product reality.
The FDE is a customer-embedded product owner responsible for converting high-stakes Proofs of Concept (POCs) into structured, shippable product decisions under commercial time pressure. You run an outcome-driven delivery loop that determines whether work becomes core product, a repeatable capability, or is explicitly sunset.
This role ensures innovation strengthens the platform - rather than fragmenting it.
What You'll Do
Own the POC-to-Product Loop
- Translate ambiguous customer requirements into structured Product Requirements Documents (PRDs)
- Define sequencing, acceptance criteria, and measurable definitions of "done"
- Scope and prioritize within constrained POC timelines
- Define user workflows, metric definitions, dimensions, and success criteria
- Partner with Engineering in a build → deploy → measure → iterate cadence
- Identify and reconcile deltas between intended and observed system behavior
- Drive formal decisioning: productize, standardize, or stop
- Prioritize scope in partnership with Engineering
- Unblock technical and product decisions
- Maintain alignment between commercial expectations and engineering delivery
- Protect product integrity while operating under time pressure
- Ensure metrics and instrumentation accurately reflect customer intent
- Validate that data models represent what stakeholders believe they represent
- Use quantitative and qualitative evidence to drive product decisions
- Translate complex system behavior into clear, high-impact narratives for technical and executive audiences
- Tell compelling, data-driven stories that align stakeholders around outcomes
FDEs safeguard Conviva against common failure modes in customer-driven innovation:
- Drift between Sales expectations and Engineering delivery
- Unbounded bespoke work without a path to productization
- Ambiguous or misaligned measurement definitions
- Core engineering bottlenecks created by configuration complexity
You act as the control mechanism that keeps delivery disciplined, measurable, and scalable.
Who You Are
Required
- 5+ years in Product Management, Forward Deployed Engineering, Sales Engineering or a similar role with strong product ownership
- Demonstrated experience translating ambiguity into executable requirements
- Strong technical fluency and ability to collaborate deeply with Product Managers and Engineers
- Analytical rigor - comfortable defining metrics, validating instrumentation, and interpreting system-level data
- Proven ability to communicate insights clearly to both technical and executive stakeholders
- Strong commercial awareness and stakeholder management capability
- Ability to operate effectively under delivery and revenue pressure
- Experience with analytics platforms, AI/ML systems, or agentic workflows
- Experience converting experimental or bespoke work into scalable product capabilities
- Background in high-growth SaaS environments
A successful FDE:
- Increases conversion rate and reduces conversion time in pre-sales POCs
- Converts POCs into structured, defensible product decisions
- Increases reuse and standardization across customer engagements
- Reduces product debt from bespoke work
- Improves alignment between revenue, product, and engineering teams
- Elevates the quality and clarity of data-driven decision making
Why Join Conviva
You will work at the frontier of agentic intelligence and analytics - shaping how customer signals become autonomous, scalable product capability. This role offers direct impact on product direction, commercial success, and platform evolution.
If you thrive in ambiguity, are outcome-centric, and use data to drive clarity under pressure, we would like to meet you.
The expected salary range for this full-time position is $150,000- $250,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.
To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.ai.
About Conviva
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
San Mateo, CA, US
Year founded
2006