Multimodial Data Capture Manager

At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work.

Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma.

We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers.

We are now looking for a Multimodal Data Capture Manager to take full ownership of how data is sourced, captured, processed, and delivered across the organisation.

This role is critical to the success of Lumi and sits at the intersection of operations, data capture, and real-world environments.

This is not a hands-on recording role. Instead, you will run the show: designing capture strategies, setting up capture environments, coordinating internal and external teams, sourcing or commissioning data when needed, and ensuring capture operations run reliably at scale.

As a Multimodal Data Capture Manager, you will own the end-to-end data acquisition pipeline for Reach Industries’s AI systems. You will work closely with AI engineers, product leaders, scientists, and external partners to ensure we are consistently capturing the right data, in the right way, at the right scale, and to the right quality standards.

• Strategy and planning for multimodal data capture
• Setup and management of capture environments
• Execution through internal teams and third parties
• Data organisation, governance, and quality control
• Continuous improvement of capture pipelines as Lumi evolves
• This is a highly autonomous role with real operational responsibility and influence over how Lumi scales.
• This is a highly autonomous role with real operational responsibility and influence over how Lumi’s AI capabilities scale.

• Data Capture Strategy & Planning
• Define and own the strategy for capturing multimodal data (audio, video, images), aligned with product and operational goals.
• Translate internal requirements into concrete capture specifications (modalities, environments, formats, volumes, quality thresholds).
• Decide when data should be captured internally, commissioned externally, or sourced via partners or third‑party providers.

• Capture Environment Setup & Operations
• Design and run data capture programmes across labs, customer sites, pilots, and internal environments.
• Identify, secure, and organise capture spaces, including studios, labs, offices, or temporary setups.
• Oversee setup of capture environments, including equipment, layouts, and workflows.
• Coordinate and manage the people doing the capture, including internal teams, contractors, partners, and customers.
• Build repeatable, well‑documented processes that allow data capture to scale without chaos.

• Data Pipeline Ownership
• Own the pipeline from raw data capture through storage, validation, and delivery to downstream teams.
• Work with engineering to ensure data is traceable, accessible, and well structured.
• Define and enforce quality checks to ensure captured data meets agreed standards.

• Third‑Party & Vendor Management
• Source, onboard, and manage external data capture partners and vendors.
• Monitor and manage cost, throughput, and quality, to the highest possible standard.
• Continuously evaluate buy vs build vs partner approaches to data capture.

• Cross‑Functional Collaboration & Compliance
• Work closely with scientists and domain experts to ensure captured data reflects real‑world lab behaviour.
• Support compliance, security, and privacy requirements (e.g. GDPR) across all capture workflows.
• Ensure appropriate consent and usage rights are in place for all captured data.

• Measurement & Continuous Improvement
• Define KPIs for capture quality, coverage, cost, latency, and reusability.
• Identify bottlenecks and…