Founding Technical Customer Success Engineer
- Role
- Support
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Founding technical customer success hire with 5+ years in CSM/TAM/post-sales solutions for B2B cybersecurity or technical enterprise SaaS. Must understand AI/LLM workflows, security operations concepts like SIEM, EDR/XDR and SOAR, and own renewals/expansions for enterprise accounts.
Core skills
Required skills
Optional skills
Job Overview
As Artemis's founding Technical Customer Success Engineer, you'll own the post-sale lifecycle for a fast-growing book of enterprise security customers, onboarding → adoption → value realization → expansion → renewal. You'll take the handoff at the moment a proof-of-value converts and make sure the value we proved in weeks compounds for years.
This is a hands-on technical role. Our customers are SOC analysts, detection engineers, and CISOs, and our product is an AI-native security platform, you'll spend meaningful time in the portal, in the data, and in AI-driven workflows, not only in QBR decks. Think of it as the post-sales mirror of our Sales Engineering motion: technical, hands-on, and accountable for quantified customer value.
Responsibilities
- Own the post-sale lifecycle for every closed-won customer across onboarding, adoption, value realization, expansion, and renewal, as the customer's single accountable owner inside Artemis
- Run structured onboarding from contract signature to fully live: set a joint success plan with milestones, drive the remaining integrations and data connections, configure alerting and escalation paths, and treat time-to-value as a core metric
- Own the customer health system: run recurring reviews across product engagement, outcome quality, integration health, AI adoption, and open risks, and act on regressions before the customer feels them
- Deliver QBRs with quantified impact (dollars saved, coverage gained, gaps closed, analyst time returned), grounded in real usage data and outcome reporting, not anecdotes
- Run a clear asks-and-risks process: convert customer requests into tracked internal work, route to the right owner, chase SLAs, and close the loop with the customer
- Drive adoption of AI-native workflows across investigation, detection, and hunting, teaching analysts, assigning homework, and turning daily users into internal champions
- Triage issues live on customer calls (integration failures, data gaps, product errors) and pull in engineering with full context when needed
- Surface expansion signals (new data sources, new teams, growing usage) and partner with Account Executives on renewal and expansion motions
- Serve as voice of customer, feeding structured field signal into the product roadmap and quality feedback into the teams that build and tune detections
- Build the CS playbook (onboarding guides, health scorecards, QBR templates, renewal runbooks) that future CS hires ramp on
Qualifications
We hire for experience and talent, not certifications. What you've onboarded, saved, renewed, and grown matters more than acronyms after your name.
- 5+ years in a Customer Success Manager, Technical Account Manager, or post-sales Solutions role in B2B cybersecurity or technical enterprise SaaS, you've carried a book of enterprise accounts through renewal, and you know your GRR/NRR numbers
- You genuinely understand AI, you use LLM tools daily, you can explain agentic workflows to a skeptical SOC analyst, and you know the difference between AI that demos well and AI that changes how a team operates
- Security domain fluency: you can hold your own with SOC managers, detection engineers, and CISOs on SIEM, EDR/XDR, SOAR, identity, and cloud, and you know what a day in a SOC actually looks like
- Comfortable in data: you can read dashboards, interrogate usage and detection metrics, and turn them into a value narrative
- Proven ownership of renewals and expansions in complex, multi-stakeholder accounts
- Strong project management across concurrent onboardings and escalations
- Exceptional written communication, weekly customer updates, executive summaries, and EBR narratives that stand on their own
- Startup-ready: you build process where none exists, and you're comfortable being the first and only person in your function
Nice to have
- Prior Sales Engineering, Solutions Engineering, or onboarding/implementation engineering experience
- Hands-on security operations background, SOC analyst, detection engineering, or incident response
- Early CS hire at a security or AI startup where you built the playbook, not just executed it
- Familiarity with SQL, APIs, or light scripting, enough to self-serve an answer before filing a ticket
Why Work at Artemis?
Make a real world impact. Help empower cybersecurity teams around the world to keep people safe from the most advanced AI-powered cyber threats.
Be challenged to be better than ever before. Our team includes some of the smartest and most driven people in the world. We guarantee you will learn more in 1 year here than 10 years anywhere else.
Build the foundation. You're not joining an established CS machine, you're building it. Your playbook creates the blueprint. Your renewals prove the model. Your feedback shapes the product.
Significant upside. As our founding Technical Customer Success Manager, you'll have equity and earning potential that reflects the value you're creating.
If you are passionate about turning security teams into lifelong champions and want to help companies defend against AI-powered adversaries, we'd love to hear from you.
Compensation
We offer a competitive compensation of $160,000-$180,000 per year, and a top-of-market equity component. A variety of factors are considered when determining the compensation, including a candidate's professional experience. Final offer amounts may vary from the amounts listed.
Equal Opportunity
At Artemis, we believe the best ideas come from diverse teams. We're committed to creating an inclusive environment where people of all backgrounds, experiences, and perspectives can do their best work. We welcome everyone, regardless of race, gender, age, religion, identity, or anything else that makes you, you.
What you'll do
- Own the post-sale lifecycle for every closed-won customer across onboarding, adoption, value realization, expansion, and renewal as the customer's single accountable owner inside Artemis.
- Run structured onboarding from contract signature to fully live, including setting a joint success plan with milestones, driving remaining integrations and data connections, configuring alerting and escalation paths, and treating time-to-value as a core metric.
- Own the customer health system by running recurring reviews across product engagement, outcome quality, integration health, AI adoption, and open risks, and acting on regressions before the customer feels them.
- Deliver QBRs with quantified impact such as dollars saved, coverage gained, gaps closed, and analyst time returned, grounded in real usage data and outcome reporting.
- Run an asks-and-risks process by converting customer requests into tracked internal work, routing to the right owner, chasing SLAs, and closing the loop with the customer.
- Drive adoption of AI-native workflows across investigation, detection, and hunting by teaching analysts, assigning homework, and turning daily users into internal champions.
- Triage issues live on customer calls, including integration failures, data gaps, and product errors, and pull in engineering with full context when needed.
- Surface expansion signals such as new data sources, new teams, and growing usage, and partner with Account Executives on renewal and expansion motions.
- Serve as voice of customer by feeding structured field signal into the product roadmap and quality feedback into teams that build and tune detections.
- Build the CS playbook, including onboarding guides, health scorecards, QBR templates, and renewal runbooks for future CS hires.
What they require
- 5+ years in a Customer Success Manager, Technical Account Manager, or post-sales Solutions role in B2B cybersecurity or technical enterprise SaaS.
- Experience carrying a book of enterprise accounts through renewal and knowing GRR/NRR numbers.
- Genuine understanding of AI and daily use of LLM tools.
- Ability to explain agentic workflows to a skeptical SOC analyst.
- Ability to distinguish AI that demos well from AI that changes how a team operates.
- Security domain fluency with SOC managers, detection engineers, and CISOs on SIEM, EDR/XDR, SOAR, identity, and cloud.
- Understanding of what a day in a SOC actually looks like.
- Comfortable reading dashboards, interrogating usage and detection metrics, and turning them into a value narrative.
- Proven ownership of renewals and expansions in complex, multi-stakeholder accounts.
- Strong project management across concurrent onboardings and escalations.
- Exceptional written communication for weekly customer updates, executive summaries, and EBR narratives.
- Startup-ready: able to build process where none exists and be the first and only person in the function.
- Preferred: Prior Sales Engineering, Solutions Engineering, or onboarding/implementation engineering experience.
- Preferred: Hands-on security operations background, SOC analyst, detection engineering, or incident response.
- Preferred: Early CS hire at a security or AI startup where you built the playbook, not just executed it.
Benefits
- Make a real world impact by helping cybersecurity teams around the world keep people safe from advanced AI-powered cyber threats.
- Be challenged to be better than ever before and learn more in 1 year than 10 years anywhere else.
- Build the foundation for the CS function, including the playbook, renewal model, and product feedback loop.
- Equity and earning potential that reflects the value created.
- Top-of-market equity component.
Artemis builds an AI-native security platform for cybersecurity teams defending against AI-powered cyber threats.