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we are looking for a Lead Endpoint Researcher.
What You'll Do
Research AI coding agent runtimes, reverse-engineer how tools such as Claude Code, Cursor, Copilot CLI, Codex, and emerging agents execute commands, access files, spawn processes, and interact with the operating system.
Design agent sandboxing architectures that safely constrain filesystem access, networking, process execution, credentials, and other sensitive endpoint capabilities.
Explore and implement OS-native isolation mechanisms across macOS, Windows, and Linux, including containers, namespaces, sandbox profiles, virtualization, restricted processes, and permission models.
Build endpoint "harnesses" that allow TokenShift to intercept, control, observe, and modify agent execution flows.
Design infrastructure for deploying and running local LLMs across heterogeneous endpoint fleets, accounting for operating system, CPU architecture, GPU availability, memory constraints, and hardware acceleration.
Evaluate local inference runtimes and model formats such as llama.cpp, MLX, ONNX Runtime, Ollama, vLLM-compatible runtimes, and emerging alternatives.
Develop mechanisms for model discovery, installation, versioning, updates, health monitoring, and lifecycle management across large numbers of developer machines.
Research hardware-aware model selection and routing, deciding which models can run effectively on Apple Silicon, NVIDIA GPUs, Windows workstations, Linux machines, CPU-only environments, and other endpoint configurations.
Build benchmarks that measure model latency, throughput, memory consumption, startup time, resource contention, and developer experience on real endpoint hardware.
Investigate security boundaries between local models, cloud-hosted models, agents, MCP servers, shells, and enterprise resources.
Collaborate with the core CLI and platform teams to take endpoint research from prototype through production.
Track the rapidly evolving AI agent, sandboxing, and local inference ecosystems and proactively identify technologies should support.

We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities
AI/ML Architecture: Design and implement scalable AI systems using models such as LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP).
MCP Integration: Architect and orchestrate model context flows using MCP or similar frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets, feedback loops, and model evaluation pipelines.

We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We are looking to hire a Senior Product Manager, reporting to the CPO, to execute on the product roadmap and innovation. Youll take high-level direction, a market constraint, a we need to own this workflow end to end, and turn it into a specification precise enough to build against, then carry it from definition through deployment.

What youll do:
Translate company roadmap into deliverable requirements (PRDs): user stories, states, edge cases, data contracts, acceptance criteria, success metrics
Work closely alongside software engineers to align on technical specifications, feature requests, and workflow optimizations
Own the full delivery cycle: discovery, definition, design partnership, sprint execution, QA, launch, adoption
Design for genuinely different personas with conflicting needs: underwriters and analysts who live in the product all day, deal flow partners who touch it a few times per deal, borrowers who see it once, and credit stakeholders who need to trust its output
Work directly with analysts and underwriters to understand the real workflow, including the parts that happen outside the system
Define where automation ends and human judgment begins, and make those checkpoints legible in the UI
Apply strong analytical skills to establish clear KPIs, ensuring product deliverables generate measurable business impact rather than just task completion.

We're looking for an AI researcher to take an integral part in research into how these models behave, how they should be evaluated, and how they can be deployed and used more efficiently across real engineering workloads.
This is a deeply technical research role with direct product impact.
You'll study frontier and open-source models, develop evaluation frameworks, investigate inference and model optimization techniques, explore local deployment strategies, and help answer questions such as:
Which model should handle a particular task?
How much capability do we lose when we quantize it?
Can a smaller local model replace a frontier API for a specific workload?
How should models be routed across latency, cost, privacy, and quality constraints?
How do we measure whether one model is actually better than another for agentic software engineering?
Your work will directly shape model strategy and the intelligence behind our AI infrastructure products.

We're hiring PointFive's Controller to own the company's global accounting function across every legal entity in the group and worldwide office presence. You'll report directly to the Director of Finance and partner closely with Legal, HR, RevOps, external auditors/tax advisors/legal advisors as we scale post-Series B.
What You'll Do:
Own the monthly, quarterly, and annual close process, including intercompany eliminations and consolidated financial statements.
Manage revenue recognition under ASC 606 for SaaS subscription contracts, including Marketplace transactions and channel/reseller economics.
Run the external audit end-to-end, from PBC preparation through auditor liaison and issue resolution.
Manage tax compliance across jurisdictions, Israeli statutory and tax filings, US state-level obligations, and cross-border withholding and self-invoicing requirements.
Support payroll oversight across Israel, US, UK and other populations, including cross-border edge cases.
Build and document internal controls with an eye toward SOX-readiness as the company scales.
Support cash management, banking relationships, and board-level financial reporting.

we are looking for a Integrated Marketing Lead.
This is the connective tissue of our marketing. Product marketing, content, field, PR, partners, web and our outside agencies each own their piece. You make sure the pieces fit: that everyone knows what's coming, what they owe, and when, so we all move together.
You won't write every word, run every event or own every relationship. You will see the dependencies nobody else sees, bring the right people together early, and keep everyone accountable to the dates, including very senior people. It takes real experience to do this well, and the judgment to know when to push and when to adjust.
What you'll do:
Keep one shared view of everything marketing has coming, months ahead, so every team plans against the same picture.
Think strategically about sequence. Decide what should come first, what builds on it and what lands last, so each launch, story, event and partner moment sets up the next one instead of competing with it.
Work backwards from the big moments on the calendar and map the interdependencies: what has to be true, by when, for each one to land.
Spot the connections early: which launch, story, event, partner and customer moment belong together.
Bring the right people into the room at the right time and make sure each knows what they own and when it's due.
Run the rhythm that keeps marketing, product, sales and partnerships in sync week to week.
Make sure the website and our other channels reflect what we're saying, working with the people who own them.
Give our agencies and outside partners clear direction so their work lands right the first time.
Notice when something is slipping before anyone else does, and fix it or flag it.

we are looking for a Senior Software Engineer - Endpoint.
What You'll Do:
Own the installation and enrollment mechanics, the CLI flows, MDM scripts, and platform-specific packaging (Windows msi/exe, macOS pkg, Linux deb/rpm) that put TokenShift on developer machines at fleet scale.
Instrument and monitor endpoint behavior through the telemetry pipeline, using signals to improve coverage and catch regressions.
Build and maintain a robust lab enabling automatic research and development of new capabilities and platforms by AI agents.
Build and maintain agent harnesses, the per-agent adapters that hook into Claude Code, Cursor, Copilot CLI, Codex, and future agents to route network and shell commands through the TokenShift proxy.
Develop and extend compression rules and strategies for new command types (git, build tools, infra CLIs, search, and more), ensuring token reduction never comes at the cost of semantic accuracy.
Maintain correctness and resilience of the proxy layer, compression must be reversible on demand, hooks must never block a developer's command, and failures must be silent and transparent.
Collaborate with the research team to translate newly supported agent architectures into production-grade harnesses.

we are looking for a Creative Lead.
This is a hands-on creative role. You will come up with ideas, build them, ship them and watch what happens. The goal is buzz, shares, followers, mindshare and category authority. Pipeline follows attention, but attention is the job.
You will take rough concepts from our leadership and turn them into real campaigns on your own, and you will bring plenty of your own. You will think about distribution while you are still shaping the idea, not after it is finished.
What you'll do:
Invent and ship campaigns, games, competitions, tools, lists, stunts, videos and interactive experiences that people choose to share.
Turn research into stories that engineers, executives and press repeat.
Make customers, practitioners and partners the heroes of the story, so they are proud to share it with their own networks.
Get our people, customers and community sharing our work because they want to.
Give a distinctive personality and voice across LinkedIn, Reddit, communities and events.
Support the creative themes for our conferences and events, and tie them into bigger campaigns, working alongside our field marketing team who bring them to life.
Make the name people think of, and the source they reach for, when the topic is infrastructure and AI cost.

We're looking for a Senior Product Manager to own TokenShift, PointFive's product for finding and cutting wasted AI token spend. This is a chance to define product strategy for a brand-new category, working hands-on with R&D on how AI agents and LLM models actually run, get monitored, and get paid for in production. You'll take TokenShift from early adoption to a core pillar of PointFive's platform, alongside our flagship DeepWaste product.
What You'll Do:
Own the product strategy and roadmap for TokenShift, from discovery through GA and beyond.
Translate a deep technical understanding of how AI agents and LLM workloads run, inference calls, endpoints, agent harnesses and orchestration, into requirements R&D can build against.
Partner with R&D, design, and data science to scope, prioritize, and ship features that surface and reduce AI token waste.
Work directly with enterprise customers and prospects to understand how they deploy AI agents in production and where their cost and visibility gaps are.
Define and track success metrics, adoption, cost savings, detection accuracy, and use them to drive roadmap decisions.
Collaborate with go-to-market teams on positioning, messaging, and launch plans for new capabilities.
Stay current on the landscape: coding agents and harnesses, LLM gateways and routers, AI observability, and endpoint management.
Represent the voice of the customer internally, balancing technical depth with business impact.

we are looking for a AI Data Lead.
As Data Lead, you will own how data gets turned into decisions across the company - and lead the shift from traditional BI into AI-driven BI, powered by agents that surface insight in real time. You'll work closely with one data engineer today, with room to grow the team as scope expands.
You'll define what the data function looks like when AI is embedded in it, not bolted on - from the underlying infrastructure to the dashboards and agents people actually use. The playbook for AI-native BI is still being written, and you'll write a lot of it.
Key Responsibilities
Data Strategy & Ownership:
Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI
Set priorities in partnership with senior leadership
Work closely with a data engineer today, with the option to grow the team as the function scales
AI-Driven BI & Agents:
Drive adoption of AI across data workflows - from automating analyses to agents answering business questions in real time
Own the semantic and metrics layer so every dashboard and every agent reads the same definitions
Build in a git-based workflow: dashboards and queries live in git, edited through PRs, built with agents
Expose our data to agents over MCP so business questions get answered without waiting for a dashboard
Define where AI speeds things up - and where human judgment still has to hold the line
Infrastructure & Analytics:
Own the data infrastructure: BigQuery, dbt, pipelines, and data reliability
Lead complex analytics work, A/B testing, and impact measurement, hands-on
Define evals and quality metrics for AI features and agents - not just A/B tests on dashboards
Cross-functional Collaboration
Partner with product, marketing, finance, operations, and engineering to define analytical needs and turn them into solutions
Represent the data function to the organization - senior-level storytelling with data

We are looking for a Customer Support Operations Lead to define how high-touch support operates as we expand. This role sits at a unique intersection: one side involves shaping our support people operations through structured training, QA frameworks, and actionable feedback loops, while the other centers on constructing the AI tooling and systems infrastructure to power it. Both pillars must scale side-by-side as our organization expands, creating a distinct blend of human touch and technical building that sets this position apart.
This is a builder's role, not a people management one. You won't manage agents day to day, but the systems, training, and technology you build will shape how the whole team works, and how members experience us in some of their most sensitive moments. You'll partner closely with support leadership on hiring, coaching, and escalations, and with product and dev on new flows, automations, and AI infrastructure. You'll also take part in shaping our AI and support strategy: helping decide what moves to AI and what still needs a human touch, and owning our sources of truth so they stay accurate and current, using smart, efficient ways to keep them that way.
If you're excited by combining hands-on human coaching and training with hands-on AI and systems building, and you want a role with real ownership and cross-team reach, this is that role.