Rodeo
ResourcesPartnersSign in

Conviva

Forward Deployed Engineer (FDE) - EMEA

London
Posted 26 days ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Conviva

Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement.

Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

Drive Structured Execution

  • 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

Apply Analytics & Insight Rigor

  • 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

Risk Mitigation & Systems Thinking

  • 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

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job
  • 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

Preferred

  • 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

How We Measure Success

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.

To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.ai.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Product Management
Forward Deployed Engineering
Sales Engineering
Technical Fluency
Analytical Rigor
Stakeholder Management
Data-Driven Decision Making
Risk Mitigation
Systems Thinking
Collaboration
Communication
Product Ownership
Customer Engagement
AI/ML Systems
SaaS
Metrics Definition

Location

London, England, United Kingdom

Sign up to applySee more jobs like this