Solutions Engineer (Customer Integrations)

Posted 4 Days Ago
Be an Early Applicant
London, Greater London, England
In-Office
6-6 Annually
Mid level
Artificial Intelligence • Information Technology • Logistics • Software
The Role
As a Solutions Engineer, you will guide customer integrations of our SDK, manage technical debugging, support onboarding, and improve processes.
Summary Generated by Built In

Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices. 

Role Snapshot

You’ll be the technical authority customers speak to when integrating our SDK. Your day will include live debug sessions, ticket triage, onboarding calls, running demos on technical sales calls and sharpening our release and onboarding playbooks. You’ll help the business move faster by reducing engineering context-switching and by making sure problems are reproduced, scoped and prioritised correctly. This is a hands-on, customer-facing, technical role — ideal for someone with mobile/SDK experience who likes to unblock teams and customers. You’ll report to the Head of Mobile and work closely with our Account Executives and Customer Success Managers based in New York.

Key Responsibilities
  • Customer onboarding & enablement
    • Run and own technical onboarding for new customers: integration documentation, sample apps and hands-on sessions with client engineers
    • Answer onboarding questions, reduce integration time and produce clear how-tos for common problems
  • Technical triage & bug management
    • Triage SDK-related issues raised by clients: reproduce where possible, identify root causes and create clear, prioritised tickets for Engineering (with logs, repro steps and impact)
    • Maintain a triage pipeline and SLA for first response and repro
  • Release & version management
    • Own release communications for customers: versioning notes, migration guidance, and rollout coordination
    • Track post-release health metrics and gather client feedback after new SDK releases
  • Monitoring & incident investigation
    • Use Datadog to monitor SDK health, investigate spikes, de-duplicate low-signal crash reports and escalate real issues with clear repro and impact
    • Create one-page troubleshooting guides for the most common integration and crash issues
    • Own alert rules and keep Datadog dashboard current
  • Documentation & process
    • Create and maintain onboarding docs, troubleshooting guides and sample apps
    • Formalise bug-reporting templates and the developer-facing ticket format so Engineering gets actionable tickets
  • Cross-functional feedback loop
    • Act as the technical point of contact for CS and Sales; feed product/engineering with customer requests, usability issues and feature ideas
    • Participate in later-stage sales calls as the technical voice; you won’t carry a quota or own contracting
  • Continuous improvement
    • Proactively suggest improvements to the SDK, onboarding flow and monitoring to reduce churn and integration time
    • Run periodic “integration health” reviews with customers and internal stakeholders
What Success Looks Like (First 3 Months)
  • 30 Days: Learn and connect
    • Get familiar with internal processes, crash reporting and monitoring (Datadog)
    • Meet key customers and document current onboarding pain points
    • Shadow onboarding sessions and support one live onboarding with Engineering
  • 60 Days: Own triage and onboarding
    • Be the technical point of contact for existing clients; respond to incoming tickets with clear repro steps and prioritisation
    • Deliver a formalised bug reporting and triage process (template + SLAs)
    • Confidently answer day-one onboarding questions from new customers
  • 90 Days: Stabilise & improve
    • Scope and agree release technologies and process ahead of the SDK revamp
    • Proactively drive iterative improvements in onboarding and release management (playbooks, sample apps, troubleshooting guides)
    • Demonstrate reduced engineering interruptions (e.g., fewer context-switch tickets, higher-quality tickets)

Example Success Metrics: Median time-to-first-response for customer technical tickets, median integration time, customer satisfaction on onboarding


Core Requirements
  • Strong customer-facing skills - you have experience with enterprise pre-sales / technical sales support (joining sales calls, scoping proof of concepts, managing integrations) and can run technical calls with client engineers and commercial teams
  • Experience with CI/release tools, package managers (CocoaPods, Swift Package Manager, Maven, npm) and clean versioning/migrations
  • Experience using crash/monitoring tools (Datadog, Sentry, Crashlytics or similar)
  • Practical knowledge of networking/auth/API interactions common in mobile SDK integrations
  • Experience with native mobile development (Kotlin or Swift)
  • Comfortable debugging mobile issues and reading logs — able to reproduce simple issues locally or via sample apps
  • Solid ticketing discipline: able to write clear bug reports with repro steps, impact, logs and prioritisation
  • Based in the UK (London preferred) and able to work from our London office at least 1 day per week on an ongoing basis
Bonus Points
  • Built or maintained SDKs used by external developers
  • Familiarity with common Computer Vision pipelines and ML Ops basics for mobile development
  • Exposure to Datadog dashboards and metrics instrumentation best-practices
  • Able to work from our London office 3 days per week during the first 3 months to speed up pairing and knowledge transfer

Top Skills

Cocoapods
Datadog
Kotlin
Maven
Npm
Sdk
Swift
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
27 Employees
Year Founded: 2021

What We Do

Captur is the first AI platform that enables product and growth teams to embed real-time image verification into their mobile apps, without building custom models. So they can scale with confidence, reduce fraud, and gamify the user experience

Similar Jobs

monday.com Logo monday.com

Team Lead

Productivity • Sales • Software
Hybrid
London, Greater London, England, GBR
3049 Employees

Mondelēz International Logo Mondelēz International

Senior Product Manager

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Birmingham, West Midlands, England, GBR
90000 Employees

Mondelēz International Logo Mondelēz International

Business Analyst

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
4 Locations
90000 Employees
3K-3K Annually

Mondelēz International Logo Mondelēz International

Affiliate Manager - Grenade

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Birmingham, West Midlands, England, GBR
90000 Employees

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account