Jobs
Build governed AI systems that earn trust.
SignalSmith partners with teams who need clarity, control, and a record of human authority. Join us to build decision intelligence products, governed AI platforms, and delivery that keeps the promise.
Project Manager (Delivery PM)
Keep the promise. Protect the plan. Ship what matters.
Full-timeRemote (US)Full-timeView details
Project Manager (Delivery PM)
Keep the promise. Protect the plan. Ship what matters.
What you’ll do
- Run delivery for client engagements where the stakes are real: governed AI systems, platforms, enablement.
- Build and maintain a decision-driven plan: milestones, dependencies, risks, and escalation paths.
- Translate ambiguity into an execution rhythm teams can trust: ceremonies, status, and crisp next steps.
- Protect focus: prevent scope drift, force clarity, keep decisions owned.
- Partner with product + engineering to keep commitments durable, not “slide-deep.”
You might be a fit if you
- Have 5+ years PM experience delivering complex software or platform work.
- Can run exec-facing status without theater.
- Know how to surface risk early and make tradeoffs explicit.
- Communicate with precision: “what changed, why, what’s next.”
Bonus
- Experience with platform governance, security, regulated environments, or AI projects.
Apply
Apply with a short brief and a link to your most relevant work.
Product Manager (Platform / SignalFrame-adjacent)
Turn governance into a product people can actually run.
Full-timeRemote (US)Full-timeView details
Product Manager (Platform / SignalFrame-adjacent)
Turn governance into a product people can actually run.
What you’ll do
- Own product discovery and roadmap slices related to governed AI and decision intelligence.
- Write crisp product requirements that map to real constraints: policy, auditability, approvals, tenancy.
- Define and defend “what it is and isn’t” to avoid category confusion.
- Drive prioritization using consequences, not opinions.
- Partner tightly with engineering on scope, sequencing, and shippable increments.
You might be a fit if you
- Have 5+ years PM experience, including platform or developer-facing products.
- Can translate messy governance needs into usable workflows.
- Think in systems: feedback loops, drift, incentives, adoption.
Bonus
- Familiarity with GRC adjacent workflows, security policy, agentic systems, or multi-tenant SaaS.
Apply
Apply with a short brief and a link to your most relevant work.
Machine Learning Engineer
Build models that behave under pressure, not just in notebooks.
Full-timeRemote (US)Full-timeView details
Machine Learning Engineer
Build models that behave under pressure, not just in notebooks.
What you’ll do
- Design, train, evaluate, and deploy ML components that sit inside governed systems.
- Build robust evaluation harnesses and monitoring plans (drift, bias, performance, failure modes).
- Collaborate with AI Engineers on tool-using/agentic patterns safely.
- Partner with product/PMs to define measurable outcomes and tradeoffs.
You might be a fit if you
- Have 3–7 years experience in applied ML in production.
- Know the difference between “works once” and “operational.”
- Can explain uncertainty clearly and design guardrails around it.
Bonus
- Experience with LLM evaluation, retrieval systems, or decision intelligence patterns.
Apply
Apply with a short brief and a link to your most relevant work.
AI Strategist/Use Case Developer
Find the right problems. Make the promise measurable.
Full-timeRemote (US)Full-timeView details
AI Strategist/Use Case Developer
Find the right problems. Make the promise measurable.
What you’ll do
- Work with customers to identify, shape, and prioritize AI use cases that survive contact with reality.
- Define success metrics, constraints, stakeholders, and governance requirements up front.
- Map workflows and decision points where human authority must remain intact.
- Create use case briefs that engineering can build and leadership can sign.
You might be a fit if you
- Can run discovery workshops without turning them into brainstorming soup.
- Understand data + process + people and how they interact.
- Write clearly and think in outcomes, not features.
Bonus
- Experience in analytics, product ops, process design, or enterprise change.
Apply
Apply with a short brief and a link to your most relevant work.
Data Scientist
Turn messy signals into decisions people can stand behind.
Full-timeRemote (US)Full-timeView details
Data Scientist
Turn messy signals into decisions people can stand behind.
What you’ll do
- Analyze real-world system behavior across data, models, agents, and human interaction.
- Design metrics that reflect decision quality, not just model accuracy or volume.
- Identify patterns like drift, repeated exceptions, evidence gaps, and governance debt.
- Partner with AI Engineers, ML Engineers, and Product to translate insights into system changes.
- Build analyses that executives, engineers, and risk leaders can all understand and act on.
You might be a fit if you
- Have 3–7 years experience in applied data science or analytics in production environments.
- Are fluent in SQL and Python and comfortable working with messy, imperfect data.
- Think in feedback loops, causality, and tradeoffs, not just dashboards.
- Can explain uncertainty clearly and avoid false precision.
Bonus
- Experience analyzing operational systems, user behavior, or risk signals over time.
- Familiarity with AI/ML workflows, evaluation, or decision intelligence concepts.
- Comfort working close to product and engineering, not just reporting layers.
Why this role matters at SignalSmith
- At SignalSmith, data science isn’t about reporting what happened.
- It’s about revealing how systems behave over time and where decisions are quietly compounding risk or value.
Apply
Apply with a short brief and a link to your most relevant work.
AI Engineer (Agentic Systems)
Build agents that can act without breaking trust.
Full-timeRemote (US)Full-timeView details
AI Engineer (Agentic Systems)
Build agents that can act without breaking trust.
What you’ll do
- Build single- and multi-agent systems that use tools, APIs, and workflows safely.
- Implement runtime constraints: allowed actions, approvals, audit trails, evidence capture.
- Build “explainability by default”: why it did something, what it used, what it would do next.
- Collaborate with governance/product to keep humans in control as autonomy increases.
You might be a fit if you
- Have strong software engineering fundamentals and have shipped AI-infused systems.
- Understand failure modes: hallucination, tool misuse, prompt injection, runaway actions.
- Can build reliable flows with clear boundaries and rollback paths.
Bonus
- Experience with orchestration frameworks, structured outputs, evaluation, or multi-tenant design.
Apply
Apply with a short brief and a link to your most relevant work.
DevSecOps Engineer
Make the platform trustworthy at runtime, not just compliant on paper.
Full-timeRemote (US)Full-timeView details
DevSecOps Engineer
Make the platform trustworthy at runtime, not just compliant on paper.
What you’ll do
- Build and maintain secure deployment pipelines, infrastructure as code, and runtime controls.
- Implement tenant isolation, secrets management, environment hardening, and auditing.
- Partner with engineering to set secure defaults that teams don’t bypass.
- Define operational posture: monitoring, incident response, access control, and evidence retention.
You might be a fit if you
- Have 4+ years in DevOps/SRE/SecOps with production systems.
- Can design secure-by-default pipelines and pragmatic controls.
- Know how to balance velocity and assurance.
Bonus
- Experience with SOC2-ish controls, audit logging, policy-as-code, or regulated environments.
Apply
Apply with a short brief and a link to your most relevant work.
Apply
Tell us where you make decisions real.
We review every application. Share the work you are most proud of and how you build systems that protect human authority.