Treasure AI
Staff Forward Deployed Engineer — Real-Time Customer Data
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Staff Forward Deployed Engineer — Real-Time Customer Data
Staff Forward Deployed Engineer – Real-Time Customer Data Platform (London, UK)
About the Role
Treasure AI is hiring a Staff Forward Deployed Engineer dedicated to serving our most strategic global enterprise customers—many of which are major players in e-commerce and retail. This is not a typical customer-facing or professional services role. Instead, you’ll be indirectly paired within a customer’s engineering/data teams, driving the design, build, and scale of real-time data solutions that deliver measurable business impact.
You will:
- Define the technical engagement model for our strategic accounts
- Set the standards and patterns for the broader Forward Deployed Engineering (FDE) team
- Solve hard systems-level challenges that bridge business goals with technical feasibility
The role sits at the intersection of product engineering and customer success, with a focus on real-time personalized experiences (e.g., bet – fragmentation, push notifications, and dynamic offer delivery). There’s no playbook here—these are first-mover challenges in real-time customer data at scale, and you'll help write new best practices.
Responsibilities
Your work will iteratively cycle through four core phases, continuously honing your approach:
1. Explore & Discover
- Surface and frame the true problem—not the stated requirement—through direct collaboration with the customer.
- Conduct deep technical discovery sessions with the customer’s engineering and data teams, uncovering:
- Current architecture constraints
- Failure modes
- Undiscussed dependencies
- Isolate gaps between perceived needs and outcomes that truly move the needle
- Proactively diagnose—not merely facilitate—high-level discussions.
- Map system dependencies before beginning design work.
2. Define
- Translate ambiguous business objectives into a clear, actionable technical problem statement.
- Author scoping documents that align customers, Treasure AI’s R&D team, and platform engineering on a shared vision.
- Define measurable success criteria tied to business outcomes (e.g., drop in cart abandonment rates, spike in revenue from triggered offers).
3. Build
- Design and validate solutions both within the customer ecosystem and on our real-time platform.
- Build scalable streaming architectures to handle:
- Latency challenges
- late-arriving events
- schema drift
- backpressure
- Sub-second SLAs
- Drive technical trade-offs with clear reasoning. When choices exist, you Call the shot and justify it.
- Validate solutions with proof-of-concept builds and continuous iteration.
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4. Productize
- Generalise successful solutions so they become reusable capabilities for other customers:
- Distill learnings into reference architectures.
- Develop implementation guides and decision frameworks.
- Ensure solutions maintain scalability, clarity, and low maintenance burden overtime.
A "great" solution here means: ✔ Remains functional after you move on ✔ Gets easier to maintain as the product evolves—not harder
Job Requirements
Core Skills & Experience
- 8+ years in software/data engineering, including:
- At least 2 years in a customer-facing, embedded, or solutions engineering capacity
- Strong hands-on experience with serverless architectures, data pipelines, and event-driven systems:
- Streaming platforms: Kafka, Flink, Kinesis, Spark Streaming
- Serverless stream processing: (e.g., AWS Lambda + Kinesis)
- Stateful systems: DynamoDB, MemoryDB/Redis
- AWS Cloud expertise to design:
- Scalable real-time event pipelines at enterprise scale
- Distributed systems handling high velocity/evolution
- Data engineering fundamentals:
- Robust pipeline design
- SQL + Python fluency
- Schema design, versioning, and data quality practices
- Experience with:
- Customer data platforms (CDP)
- Marketing automation
- Behavioral data management
- Proven ability to:
- Go from ambiguous, undefined requirements all the way to production-grade systems.
- Operate at both the whiteboard (architecture) and terminal (code level) in a day.
- Collaborative communication:
- Articulate complex systems to non-technical stakeholders.
- Earn credibility and maintain trust with executive leadership.
Bonuses
- Experience with real-time personalization and trigger-based marketing systems (push, SMS, cart abandonment).
- Technical languages: Kotlin, Node.js/JavaScript, or Java/Scala.
- ML model serving at scale (real-time inference, feature stores).
- Prior experience at a data platform, CDP, or martech company.
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How You’ll Operate
-
Split focus: 40% customer engagement, 60% downstream engineering.
- Customer-facing components:
- Daily sessions / sprint workshops on-site in London with the customer’s data/engineering teams.
- Occasionally participate in quarterly, executive-level strategy meetings across Europe (4–5x/year).
- Internal collaboration:
- Lead with Treasure AI’s fogal real-time platform R&D team in iterative design/build cycles.
- Customer-facing components:
-
Mindset: Not an order-taker—there’s genuine influence on builds, timeframe, and direction.
-
Commitment: A permanent, open-ended role (Not a fixed-term engagement). You’re building a legacy.
Why Join This Role
- Dive deep into forging next-generation best practices—real-time technical challenges don’t yet have proven solutions.
- Build artisan real assets—not demos. Your work impacts product evolution at Treasures.
- Join a small, high-impact FDE team where contributions are visible and valued.
Physical & Travel Requirements
- Based in London, UK under Treasure’s Global Hybrid Policy.
- Occasional quarterly travel within Europe for leadership meetings (~4 times/year).
Perks & Benefits
Imagine working at a company that prioritizes care and empathy without sacrificing impact:
- Competitive compensation packages.
- Salary sacrifice pension (7% employer contribution).
- Healthcare: dental, vision, and an British unlimited off-the-shelf voucher plan.
- Life coverage: 5x annual salary for life policies at main event.
- Parental leave: 26 weeks paid (at full pay) + post-partum night nurse coverage.
- Family-building support: Via Carrot (reproductive health, egg freezing access globally).
- A culture that values individuality: We actively promote DEI&B and meaning pride in building inclusive ways to work.
Don’t Proceed Further
Agencies and recruiters – we only consider submissions with a signed contract in place. Rumours or unsolicited referrals will not be evaluated.
The work here is living and evolving. Treasure AI encourages you to take initiative, push boundaries, and grow this role beyond what's outlined here. 🚀
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