Build the technology that makes expertise scalable.

Cloneable is an AI-powered platform transforming how enterprises manage complex, mission-critical workflows. We're solving hard problems in large, established industries — fiber broadband buildout, power engineering, and utility infrastructure — where legacy software and manual processes create massive operational drag. Our platform automates field data collection and back-office workflows, helping leading companies modernize how they operate.

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We're a seed-stage company (growing fast) backed by leading climate and infrastructure investors.

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You'll love Cloneable if you:

• Want to be the expert voice for an industry
• Enjoy building tools that solve real problems
• Prefer a role where you're both customer-facing and building things
• Want to shape product direction with your domain expertise
• Want meaningful equity and influence at a seed-stage company

The Opportunity

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This is Cloneable's first dedicated Customer Success hire. You'll build the function from the ground up, establishing the processes, playbooks, and relationships that define how our customers experience the product after the contract is signed. You'll own a mixed portfolio of SMB and enterprise accounts across the fiber, broadband, and power engineering sectors, and you'll be the primary reason customers get real operational value out of what we build.

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This role is not responsible for renewals or sales activity. Your job is customer outcomes: adoption, value realization, and retention driven by results, not contract management.

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We expect you to use AI tools across everything you do, from drafting communications to analyzing usage data, building automations, and designing customer workflows. This isn't optional or aspirational. It's how we operate.

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What You'll Be Doing

Own the Customer Journey

• Lead onboarding for new customers, getting field crews and back-office teams up and running quickly and confidently
• Build and execute success plans tailored to each customer's operational goals and environment
• Serve as the primary point of contact across your account portfolio, the person customers call when something matters
• Conduct regular business reviews that connect product usage to measurable operational outcomes
• Use AI tools to synthesize account health data, draft business review materials, and surface insights faster than any manual process could

Drive Adoption and Value

• Monitor usage patterns across accounts and proactively address gaps before they become churn risks
• Develop training programs and enablement materials that help customers get the most out of UtilityScout and Cloneable Agent
• Translate customer workflows and pain points into clear feedback for the product and engineering teams
• Build scalable CS processes and playbooks that work across both SMB and enterprise accounts. You're designing the system, not inheriting one
• Identify opportunities to embed AI-driven workflows into customer operations, helping them get compounding efficiency gains beyond the core product

‍Be the Voice of the Customer Internally

• Advocate for customer needs across product, engineering, and leadership
• Document and quantify value delivered: outcomes, efficiency gains, and ROI that customers can take to their own leadership
• Help the founding team understand what's working in the field and what isn't

What We're Looking For

Required

• 5+ years in Customer Success, Technical Account Management, or a similar post-sale customer-facing role at a B2B SaaS company
• Experience building or significantly scaling a CS function. You've had to create structure where none existed
• Strong systems and process instincts: you build playbooks, not just relationships
• Technical fluency: comfortable with APIs, integrations, and software workflows, and able to speak credibly with both operators in the field and engineers on a product team
• Active daily user of AI tools (Claude, ChatGPT, Cursor, or similar). You use them to write, analyze, automate, and problem-solve, not just to experiment
• Data driven: digging into customer use, market trends, and regulatory drivers to identify opportunities to scale customers
• Demonstrated ability to use AI to drive process improvements: automated reporting, smarter customer communications, faster synthesis of usage data
• Excellent communicator across organizational levels: crisp recaps, useful QBRs, clean escalation notes, and no loose threads
• Builder mindset: you are excited to create the first CS systems instead of inheriting mature ones

Nice to Have

• Background in infrastructure, utilities, telecom, or field operations industries
• Experience with enterprise customers in asset-intensive or operationally complex environments
• Prior experience at an early-stage or seed-stage company

You'll Love it Here if You:

• Have a growth mindset and are always learning. You don't need to have all the answers but you push yourself and others to find them
• Take high ownership seriously. You go above and beyond for customers, hold yourself accountable, and bring grit when things get hard
• Lead with integrity. You do the right thing, communicate openly, and treat teammates and customers with genuine respect
• Put the team first. Low ego, high trust, and a bias toward collaboration over credit

The Opportunity

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Forward Deployed Engineers at Cloneable sit at the intersection of customer success and product engineering. You'll embed with our enterprise customers, learn their workflows inside and out, and build the AI-powered systems that replace what used to be done manually. This is a high-ownership role where you'll go from discovery to production with real customers in industries that haven't seen this kind of automation before.

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What You'll Be Doing

Own Deployments End-to-End

• Lead technical discovery with customers: understand their software environments, data sources, and workflow bottlenecks focusing on delivering high value, high impact capabilities
• Design and build AI-powered automation solutions tailored to each customer's operational context
• Own delivery from first prototype through stable production rollout
• Guide customer teams through adoption and be the trusted technical voice on the ground

Build Production-Grade Systems

• Integrate Cloneable's agent platform with customer-specific tools, APIs, and enterprise software including industrial and domain-specific systems
• Build backend services, data pipelines, and automation workflows that hold up in high-stakes production environments
• Troubleshoot complex issues across the full stack: infrastructure, models, integrations, and customer-side constraints

Close the Loop Between Field and Product

• Translate customer friction into clear product and model feedback for the internal engineering team
• Codify what works and turn successful deployments into reusable patterns, playbooks, and tooling
• Partner closely with our CTO and product team to sequence delivery and keep things moving

What We're Looking For

Required

• 5+ years of engineering or technical deployment experience, including direct customer-facing work
• Strong coding skills in Python or TypeScript; ability to contribute production-quality code
• Hands-on experience building or deploying systems that use LLMs, AI agents, or generative AI
• Experience building with AI and strong at context switching while working multiple projects in parallel
• Comfort navigating ambiguity. You can take a messy customer environment and find a path to working software
• Clear communicator who can work with both technical engineers and non-technical operators
• Experience deploying and managing production services (cloud infrastructure, APIs)

Nice to Have

• Familiarity with industrial, utility, or enterprise field operations software
• Experience with workflow orchestration tools
• Background in enterprise software integration or legacy system connectivity
• Prior experience at a seed or Series A company

You'll Thrive Here If You:

• Get energized by industries where the operational problems are real and the tooling hasn't caught up
• Prefer shipping and iterating over planning in the abstract
• Want to own outcomes, not just tasks
• See working directly with customers as a strength, not a detour from "real" engineering

The Opportunity

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Join our founding engineering team building the mobile layer for critical infrastructure operations. Our iOS app, UtilityScout, is how field crews capture the data that powers everything downstream: make-ready engineering, structural analysis, back-office automation. It runs on iPhones in the field, often offline, in conditions where reliability isn't negotiable.

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You'll work directly with our CTO to own the iOS experience from architecture through App Store. This isn't a maintenance role on a mature product. You're shaping how field technology works in industries that are just beginning to modernize.

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What You'll Be Doing

Build Field-Grade iOS Applications

• Design, develop, and test high-performance iOS features for real-world field operations use cases including data collection, asset inspection, offline sync, and device integration
• Develop and integrate AI models: LLMs and Object detection directly into apps for offline use
• Own the full development cycle: technical design, implementation, testing, and release
• Build for constraint: offline-first architecture, edge device performance, and reliable operation in low-connectivity environments
• Integrate with native hardware components where relevant to field workflows

Raise the Bar on Engineering

• Lead design and code reviews, establishing best practices as the team grows
• Contribute to technical architecture decisions with the CTO and founding team
• Write clean, well-documented code and hold the rest of the team to the same standard
• Use AI tools throughout your daily workflow to accelerate development and solve complex problems

Work Close to the Customer

• Develop a deep understanding of what field crews actually need, not just what they ask for
• Collaborate with our customer success and field teams to translate real operational feedback into product improvements
• Help the team understand how field conditions shape technical requirements

What We're Looking For

Required

• 5+ years of commercial iOS development experience shipping production applications
• Strong proficiency in Swift, with working knowledge of other static languages such as Rust
• Deep familiarity with Xcode and Apple platform development patterns
• Experience building for offline-first or low-connectivity environments including local data storage, sync, and conflict resolution
• Solid understanding of mobile performance optimization, memory management, and battery-conscious design
• AI-native mindset: you use AI tools (Claude, Cursor, GitHub Copilot, or similar) daily to accelerate your work accomplishing development tasks in parallel
• Strong communication skills and ability to work closely with a small, cross-functional team

Nice to Have

• Experience with field mapping, spatial data, GIS, or sensor network applications
• Experience with on-device machine learning or CoreML
• Background in enterprise field operations software or industrial mobile applications
• Prior experience at an early-stage startup (seed to Series A)
• App Store submission history (put it on your resume)

You'll Thrive Here If You:

• Care about what happens when your software is used in the real world, in the field, by people doing physical work
• Want ownership over a product that is genuinely critical to how customers operate
• Prefer shipping and iterating over endless process
• Believe AI tools should be core to how engineers work, not a side experiment

The Opportunity

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Join our founding engineering team building the AI automation layer for enterprise infrastructure. You'll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments.

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This isn't about building yet another SaaS app. You're building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable.

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What You'll Be Doing

Build AI-Powered Automation Systems

• Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms.
• Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale.
• Build agentic frameworks and tools to power enterprise agentic use.
• Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic.

Scale Backend Infrastructure

• Own backend services that power our agent deployments.
• Build robust APIs and data pipelines that connect field operations to back-office systems.
• Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows.

Collaborate & Ship

• Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones.
• Bring cutting-edge agentic capabilities into production.
• Deploy and iterate rapidly based on real customer feedback from enterprise partners.
• Use AI tools throughout your daily workflow to accelerate development and solve complex problems.

What We're Looking For

Required

• 5+ years of professional engineering experience building production systems
• Fluency in TypeScript or Python or Rust Bonus for more than one.
• AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems
• Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions
• Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks
• Hands-on experience with:
  
  • Building scalable distributed systems and backend services
  • Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs)
  • Deploying and managing production services
  • Database design and optimization

Nice to Have

• Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar)
• Infrastructure as code and containerization (Docker, Kubernetes)
• Background in automation, RPA, or desktop application integration
• Prior experience at an early-stage startup (seed to Series A)
• Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools

You'll Love This Role If You:

• Get energized solving technical problems in industries that have yet to be disrupted by automation- we’re building a first!
• Want to see your code immediately impact real customers doing real work
• Prefer shipping and iterating to endless planning and process
• Believe AI tools should be core to how engineers work, not a side experiment