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JOB DETAILS

Technical Customer Success Engineer

CompanyArtemis
LocationRemote
Work ModeRemote
PostedJuly 27, 2026
About The Company

No description available for this Company.

About the Role
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.
Key Skills
Customer SuccessCybersecuritySIEMEDR/XDRLLM/AI WorkflowsProject Management
Categories
Customer SupportEngineering
Benefits
Equity
Job Information
📋Core Responsibilities
Own the post-sale lifecycle for enterprise security customers, running structured onboarding, driving adoption of AI-native workflows, managing customer health and QBRs with quantified impact, and partnering with Account Executives on renewals and expansions while building the CS playbook.
📋Job Type
full time
💰Salary Range
$160,000 - $180,000
📊Experience Level
5-10
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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