About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io, and I’m looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on.

Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren’t built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we’re figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building.

What we value

• Craft over quick wins — energized by making things robust, not just making them work.
• A point of view — we want someone who asks “why did you build it that way?” and has a specific answer for what to do instead.
• Comfortable being wrong — you try things fast, and you course-correct just as fast.
• AI-native by default — you’d rather direct Claude to write and QA code than write it by hand.

What you’ll do

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do.
• Deployment & infrastructure — stand up and maintain the pipelines that get agents into users’ hands without surprises, owning environment parity and release hygiene on our GCP stack.
• Database administration — own how agents read from and write to our databases, safely and at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship the steady stream of improvements that make an agent indispensable rather than just useful.
• Partner closely with the GTM AI team — free up our agent builders to stay in their zero-to-one wheelhouse while you own scale and reliability.
• Bring an outside point of view — tell us what we built wrong, and back it up with a plan to fix it.

What we’re looking for

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role, ideally at a B2B SaaS company.
• Comfort working in the terminal daily, with a real GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience strongly preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.
• Ability to prompt AI tools correctly, review their output critically, and direct them to QA their own work — this is an AI-native role, not a hand-coding one.
• Scrappy enough to iterate fast, disciplined enough to think about consistency once something needs to scale.
• A point of view, and the willingness to ask “why did you build it that way?”

Compensation & Benefits

We believe in transparency. Starting salary for this role is $140,000–$170,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

1. 30-minute Zoom call with Recruiter
2. 45-minute Zoom call with Hiring Manager
3. 45-minute Zoom call with a member of the GTM AI team
4. 60-minute Live technical session with the team

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Legion

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Agentic AI Engineer / Software Engineer - AI Applications (Remote US)

***US Citizenship or Greencard is required due to US Government contract requirements***

Job Summary:

We’re looking for an Agentic Engineer to bridge the gap between our AI platform and customer outcomes. You’ll take the platform capabilities our engineering teams build—agents, workflows, memory, reasoning, integrations, and tools—and turn them into polished, customer-ready applications that demonstrate immediate value.

This is an engineering role for someone who enjoys building end-to-end experiences. You’ll work directly with product and platform engineers to rapidly build, iterate, and ship AI applications that align with real operational value.

Responsibilities:

• Build agentic applications that solve real customer use cases using our platform capabilities.
• Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
• Translate ambiguous problems into intuitive AI experiences.
• Rapidly build new applications, gather feedback, and iterate into production-ready solutions.
• Partner closely with platform engineers to inform abstractions and reusable components.
• Identify common patterns across customer deployments and help evolve them into reusable products.
• Own customer-facing quality—from UX and reliability to performance and evaluation.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 3-5 years of software engineering experience
• Experience building production-ready agentic AI applications using AI agents, workflows, MCP, and tool orchestration.
• Ability to move quickly from idea to working product while maintaining high engineering quality.
• Strong product instincts—you care about whether something is useful, not just technically impressive.
• Experience integrating APIs, enterprise systems, and external data sources.
• Excellent communication and collaboration across engineering and product teams
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and be open to changing course when it’s right.
• Drive to foster a culture of collaboration, psychological safety, and technical excellence.
• Strong advocate for inclusion in technical discussions at all levels.

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Compensation Information

$150,000—$200,000 USD

Equal Opportunity Statement

Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.