Founding Lead Engineer Job at 360 Resourcing Solutions (Manchester)

Staff Machine Learning Engineer, Money (Founding ML Lead)

The Money org at DoorDash builds the financial products and platforms that power...

Location

United States , San Francisco; Los Angeles

Salary:

137100.00 - 299300.00 USD / Year

DoorDash

Expiration Date

Until further notice

Requirements

8+ years of industry experience building and deploying production-scale ML systems
Direct experience with credit, lending, or cash advance underwriting, including risk modeling and decisioning
Strong foundation in statistics, probability, and machine learning, and know how to apply them to noisy, real-world financial data
Fluent in Python (and/or Java, Scala, or C++) and experienced with ML frameworks such as XGBoost, PyTorch, TensorFlow, or similar
Designed and operated ML systems in production, including monitoring, retraining, and model governance
Can lead complex technical projects end-to-end, influencing stakeholders across multiple orgs
Communicate clearly and effectively with technical and non-technical audiences
Excited about building something new and operating with ambiguity at high ownership

Job Responsibility

Lead the design, development, and deployment of production-grade ML systems that drive financial decisioning across DoorDash’s Money ecosystem
Own ML-driven underwriting models for merchant cash advances, partnering closely with Product, Risk, Data Science, and Engineering to improve approval rates, loss performance, and capital efficiency
Broaden scope to support additional initiatives such as banking products, payouts, and consumer payments optimization
Set best practices for model development, deployment, monitoring, and governance across the Money org
Influence architecture, strategy, and execution beyond a single team
Help shape the future of Money ML at DoorDash, with the opportunity to mentor others and grow a team over time

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical, dental, and vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance

Qe Ai Lead Engineer

As a QE AI Engineer & QE Architect, you will have the opportunity of joining an ...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Extensive experience as a Senior QE SDET Engineer or Senior Developer
Has breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst others
Experienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and Django
Experienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)
Hands-on Product building experience that cuts across the full SDLC - not just test automation and QE
Experienced in building RAG system with a nice-to-have on fine-tuning LLMs
Cleaning/augmenting data
Comfortable with IAS (Infra As Code) eg. giving a high-level spec
Fully understands test automation (across platforms and functional/non-functional) and associated tech
Presentation skills - C-Suite clients and in-house

Job Responsibility

Lead the expansion of our existing portfolio of Quality Engineering assets and services
Ensure Shift-Left Testing emphasising early testing in the development lifecycle
Play a key role as an AI mentor and train your team on the latest testing tools and methodologies
Always look for ways to drive SDLC efficiencies and to improve the quality engineering approach
Capture the value created through defining and tracking quality metrics

What we offer

Flexible work options
Tailored benefits that support physical, emotional, and financial wellbeing
Learning and Development opportunities

Fulltime

Founding Engineer

We’re working with an early-stage, mission-led business in the financial wellbei...

Location

United Kingdom , Manchester

Salary:

100000.00 GBP / Year

YourPrime

Expiration Date

Until further notice

Requirements

Strong background in software engineering, with experience building production applications
Experience developing mobile applications (React Native or similar)
Comfortable working across APIs, backend systems, and cloud environments
Experience operating in startup, scale-up, or high-ownership environments
Already using AI tools to improve development workflows
Strong interest in building AI-enabled product features
Curious about how LLMs, agents, and data can enhance user experience
Product-focused: you care about user outcomes, not just implementation
Commercially aware: you understand how engineering decisions impact business outcomes
Comfortable with ambiguity and moving quickly

Job Responsibility

Lead development of the mobile application
Translate product vision into high-quality, scalable code
Own delivery end-to-end (architecture, build, testing, deployment)
Work closely with product and design to deliver a best-in-class user experience
Embed AI meaningfully into the product experience
Explore use cases across Personalisation, Behavioural insights, User engagement
Leverage modern AI tooling to accelerate development and improve output
Help define and evolve system architecture
Make key decisions across Mobile stack, Backend integrations, Data and AI infrastructure
Balance speed vs scalability in an early-stage environment

What we offer

Founding-level opportunity with real ownership
Direct access to founders and strategic decision-making
Opportunity to build an AI-native product from the ground up
Clear pathway to Head of Engineering
Mission-led business tackling financial wellbeing and stress
Meaningful long-term upside through equity

Fulltime

Founding Engineer

Software tool for designing robots and machines. We’re MorphoAI, a venture-backe...

Location

United Kingdom; United States , London; New York; San Francisco

Salary:

50000.00 - 110000.00 GBP / Year

YC Work at a Startup

Expiration Date

Until further notice

Requirements

2+ years experience in hands-on software development of highly technical products or a PhD in a CS or robotics-related field (e.g. MechE, ECE, etc.)
Past experience in software development, ideally for deployed products, open-source projects, or large codebases
Past experience working with control systems, Ideally having broad working knowledge in more than one of the following: Numerical optimization
Generative AI development and its underlying core methodology
Physical simulation and scientific computing
Advanced robotic control methods
Geometry processing representations and algorithms
Comfortable owning projects end-to-end, from ideation to deployment to maintenance
Intense curiosity, a desire to be continuously learning, grit, and an ability to communicate your technical ideas to a team
Product-minded with bent towards ideating

Job Responsibility

Work directly with the CTO and partially with the CEO on critical parts of the product roadmap to develop and deploy new critical new capabilities
Build and deploy products for SMB and enterprise customers that will have a huge, tangible impact on customers’ product development
Engage with customers to understand how users think about their problems and how we can develop usable products to solve them

What we offer

20 days off/ year
Medical and dental benefits
Health and wellness discount plan
401(k) account
Factorio (and other games) gaming buddies

Fulltime

Founding Engineer

As a founding engineer and first full-time hire, you’ll be a cornerstone in buil...

Location

United States , San Francisco

Salary:

120000.00 - 180000.00 USD / Year

YC Work at a Startup

Expiration Date

Until further notice

Requirements

3-5 years of experience as an engineer shipping full stack solutions in an elite, high velocity team
1+ years of experience deploying LLMs (ideally voice AI) to production for thousands of users
Experience with some of our tech stack: Python, FastAPI, Typescript, Next JS, Docker, MongoDB, AWS (ECS Fargate), OpenAI embeddings, LiveKit, Twilio
A degree or significant coursework in a quantitative subject (CS, math, statistics, physics, engineering)
Demonstrated exceptional intellect: Examples could be a 4.0 GPA from top institution, placing in Putnam Top 500, competitions like USAMO, USACO Platinum, or programs like RSI, ISEF, Regeneron STS

Job Responsibility

Ship full-stack and AI features at a blistering pace (we use Python FastAPI and Typescript Next.js)
Navigate extreme ambiguity and coordinate with founders, other platform engineers, and FDEs to build a cohesive roadmap
Lead the development of new product verticals as we expand our footprint and build towards our vision of creating the AI operating system for cities
Design scalable and reliable system architectures for core platform capabilities
Respond to system issues promptly, identify root causes, and turn lessons into a more resilient system
Manage and streamline cloud deployments through the refinement of our CI/CD pipeline and cloud infra
Talk directly to customers and unearth immediate pain points, core problems, and future opportunities, reading between the lines when necessary
Be receptive to brutal feedback and changes in course (even if it invalidates previous work)
Add polish and delight when you sense a high-leverage opportunity, or just want to have fun (don’t 80/20 everything)
Get excited about people problems - interviewing, evaluating, and mentoring new engineering hires

Fulltime

Founding Lead, Wearables & Biomarker Programs

You’ll be the founding owner for two strategic initiatives: Project 1 — Wearable...

Location

France , Paris

Salary:

Not provided

Fabulous

Expiration Date

Until further notice

Requirements

Have taken a device from white‑label/ODM to mass production, or led first‑of‑kind health hardware programs
Are a decisive operator who loves prototype → test → learn → scale
Communicate crisply with execs, vendors, and engineers—and you sweat the details

Job Responsibility

Own strategy, roadmap, and execution for both programs
Build the business case: pricing, COGS, BOM, margins, logistics, and unit economics. Present make/buy transitions and scale plans
Ship real things: pilots (500–2,000 users), then scale. Define success metrics and run iterative experiments to hit them
Coordinate cross‑functional teams (product, design, data, growth, legal, finance, support). Recruit and manage external specialists (HW, firmware, regulatory, quality, clinical advisors)
Lead regulatory & compliance paths
establish privacy/security controls and consent flows
Translate raw biosignals and labs into simple, delightful user experiences and coaching loops that drive retention and health outcomes

What we offer

Mission‑driven: help millions build healthier lives
Ambitious scope: own two flagship programs from first principles
Design‑led culture: craft experiences people love and keep using
Professionally nourishing environment that is flexible and fully remote
Team members enjoy in house challenges and Slack event and work across a variety of tools
Meetings are kept to a minimum and deep work is encouraged

Fulltime

Founding Lead Recruiter

As the Lead Recruiter at Charge Robotics and founding member of our people funct...

Location

United States , San Leandro

Salary:

150000.00 - 190000.00 USD / Year

Charge Robotics

Expiration Date

Until further notice

Requirements

6+ years of experience in recruiting, at least some of that for engineering roles
Excellent verbal and written communication skills
Superb negotiation and relationship management skills
Detail-oriented with a ruthless ability to prioritize
Metrics-driven mindset, leveraging data to understand pipeline health and improve velocity, quality, retention
Believe in treating all people with dignity and respect, regardless of title or tenure
Proficient in ATS and other HR technologies to support data-driven decision-making and process optimization
Enjoy working in a fast-paced, in-person startup environment
Based in or can relocate to the SF Bay Area, and able to work 4-5 days/week from our San Leandro HQ

Job Responsibility

Build our talent function and recruiting processes from scratch
Own the end-to-end recruitment lifecycle, from sourcing and screening to negotiating and closing
Be a strategic partner to hiring managers across the company, collaborating on candidate strategy and ensuring that hiring goals are met in a timely manner with top-tier candidates
Create a positive, seamless, and fair candidate experience
Initially lead employee onboarding until we can grow into a larger people function
Report to and collaborate closely with our founder/CEO
Be the face of Charge Robotics and help us build a stellar employer brand

What we offer

Offers Equity

Fulltime

Founding Talent Lead

Join us and help shape the future of AI by defining the narrative around documen...

Location

United States , San Francisco

Salary:

Not provided

LlamaIndex

Expiration Date

Until further notice

Requirements

7+ years of full-cycle recruiting experience, ideally as an early or founding recruiter at a high-growth startup
A strong track record hiring niche technical talent across AI/ML, infrastructure, platform engineering, or developer tools
Experience building recruiting infrastructure from scratch: sourcing systems, interview loops, scorecards, calibration rituals, and hiring metrics
Strong talent judgment, with the ability to deliver high-precision slates and reduce calibration cycles with hiring managers
Comfort operating across functions, from technical hiring to GTM, marketing, and operations roles
Fluency with modern sourcing and AI recruiting tools, with strong judgment around quality, signal, and automation
High ownership, grit, and communication skills with founders, hiring managers, candidates, and external partners

Job Responsibility

Full-cycle recruiting for our most critical and specialized roles, from search strategy through close
Company-wide hiring strategy and capacity planning in partnership with founders and leadership, translating roadmap and headcount needs into an executable hiring plan
Hiring quality and consistency across the company. You’ll be the steward of the bar and the person who helps teams make better hiring decisions
Build-vs-buy decisions on agencies and external partners, including when to scale support up or down, how to manage budgets, and how to hold partners accountable
Responsible use of AI in recruiting. You know AI can expand reach and speed, but judgment, calibration, and candidate quality matter more than volume. You’ll set the standard for how we use AI tools without letting automation run unchecked.

Fulltime

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Founding Lead Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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