
1001 - 5000 employees
Founded 2012
📣 Marketing
💼 Consulting
☁️ SaaS
💰 $500M Series E on 2024-12
Marketing • Consulting • SaaS
Insider One is an AI-native customer engagement and personalization platform delivered as SaaS. It provides a unified customer data platform (CDP), personalization, journey orchestration, reporting/analytics, and behavioral insights, and connects to 100+ integrations to support multichannel marketing across web, email, mobile apps, site search, SMS/RCS, WhatsApp, push, and conversational CX. The platform targets marketing and customer engagement teams at enterprise and e-commerce brands to improve engagement, conversions, and lifetime value.
🔥 1 minute ago
🇹🇷 Turkey – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑💻 Full-stack Engineer
🚫👨🎓 No degree required
👻 Ghost score 10%
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1001 - 5000 employees
Founded 2012
📣 Marketing
💼 Consulting
☁️ SaaS
💰 $500M Series E on 2024-12
Marketing • Consulting • SaaS
Insider One is an AI-native customer engagement and personalization platform delivered as SaaS. It provides a unified customer data platform (CDP), personalization, journey orchestration, reporting/analytics, and behavioral insights, and connects to 100+ integrations to support multichannel marketing across web, email, mobile apps, site search, SMS/RCS, WhatsApp, push, and conversational CX. The platform targets marketing and customer engagement teams at enterprise and e-commerce brands to improve engagement, conversions, and lifetime value.
• Plan, implement, test, review, debug, refactor, document, and ship production features with coding agents • Work in Insider One’s high-traffic marketing and customer engagement platform serving 2,000+ brands • Build shared global agents, skills, context files, MCP integrations, prompt templates, and embedded guardrails • Design human-in-the-loop workflows for high-risk architectural and security decisions • Automate repetitive product and engineering workflows using stateful, multi-step agentic systems • Own the AI review pipeline and test-coverage gate as products • Threat-model AI-assisted development and its supply chain • Implement CI defenses against prompt injection, jailbreaks, tool-call abuse, and data poisoning • Measure agent impact, vulnerability escape rate, review precision, test effectiveness, and adoption through dashboards • Convert production escapes into guardrails, regression tests, or rules within one cycle • Establish and maintain organization-wide AI-assisted engineering standards • Teach through sessions, pull-request reviews, playbooks, and mentorship • Evaluate new AI tooling and recommend useful technologies to product and business teams
• Daily production use of coding agents, with the agent doing most of the writing and the candidate owning the result • One end-to-end project using coding agents, from empty repository to live deployment • Evidence that an AI standard, rule set, shared agent, review pipeline, or playbook was adopted by other engineers • Experience measuring outcomes such as accepted-code rate, rework, escape rate, review false positives, or time saved • Agentic depth including tool and function calling, multi-step workflows, state, error recovery, and human-in-the-loop • Security experience involving AI surfaces such as prompt injection, tool abuse, secret leakage, or unverified dependencies • Strong fundamentals in clean code, testing, error handling, performance, and engineering judgment • Ability to teach and operationalize AI-assisted development practices • Go and PHP/Laravel preferred; Python, TypeScript, or other languages accepted • 2+ years designing highly scalable, highly available systems, mostly in Go (nice to have) • LLM experience with prompt engineering, agent SDKs, or orchestration frameworks such as Strands Agents, LangChain, or LlamaIndex (nice to have) • Experience with RAG, MCP, agents, skills, hooks, or plugins (nice to have) • Experience integrating SAST and dependency findings into agent-driven patching workflows (nice to have) • Experience producing ADRs with AI and defining measurable architectural fitness checks (nice to have) • No specific years or titles required; role is scoped at the top level of the internal AI-Native Engineer matrix
• Monthly meal allowance • Comprehensive private health insurance • Yoga classes, running and cycling clubs, and nutrition workshops • Access to Spotify, LinkedIn Learning, Blinkist, MasterClass, Neoskola, and CloudGuru • Internal training covering AI fundamentals, coding, foreign languages, and personal development skills • Eligibility-based ESOP share ownership • Referral bonuses • Volunteering and purpose-driven social impact projects • Global retreats and team-building activities • Equal-opportunity, zero-discrimination workplace
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