1mind

• Architect Superhuman Activation: Lead the technical discovery and 'blueprint' phase for new customers, mapping their existing business systems to our AI framework • System Mapping & Integration: Design and implement the data flows between 1mind agents and client tech stacks (CRMs, MAPs, APIs, and proprietary databases) • Experiential Configuration: Fine-tune Superhuman experiential elements such as visualizations, logic gates, and response triggers • Customer Consultation: Serve as the technical face of the services team, guiding stakeholders through the activation journey and translating complex technical hurdles into clear, actionable outcomes • Quality Assurance & Optimization: Conduct rigorous testing of agent behaviors pre & post-deployment to ensure peak performance and reliability • Feedback Loop: Partner with Product and Engineering teams to advocate for new features and platform enhancements based on real-world activation challenges

• Lead end-to-end forward deployments of 1mind’s products — from technical scoping and system design through production rollout inside customer web environments. • Ramp rapidly on unfamiliar web applications, tracing and debugging HTML/DOM and rendering issues across static, server-rendered, and client-rendered architectures. • Build and maintain robust UI automation using Playwright, Puppeteer, and Chrome DevTools Protocol to drive reliable agent behavior across desktop and mobile, and across Chrome/Chromium, Firefox, Safari/WebKit, and Edge. • Work hands-on with the AI orchestration layer — prompts, retrieval, and agent configuration — to tune Superhuman behavior for each customer’s product and workflows. • Handle real-world auth and web state — cookies, sessions, tokens, and local/session storage — to make deployments secure and resilient. • Serve as the senior technical partner to customer engineering teams: run technical discovery, translate business needs into deployment plans, and communicate clearly with technical and non-technical stakeholders. • Codify what works into repeatable playbooks, internal tooling, and documentation that make every subsequent deployment faster. • Feed deployment insights back into the product roadmap, working closely with engineering and product leadership.

• Map operational workflows across the business, beginning with Sales and expanding across the broader organization • Partner closely with Revenue Operations to identify high-impact opportunities for AI • Drive adoption by creating documentation, guardrails, and training • Partner with Engineering when solutions require custom development • Scale successful AI playbooks beyond go-to-market

• Connect with customer-obsessed professionals who want to own outcomes from onboarding through renewal and expansion • Always looking to build a talent community for future Customer Success opportunities

• Develop optimal prompts and context management strategies using large language models for customers. • Work closely with Customer Success and Services team to tweak prompts and troubleshoot. • Review conversations and feedback to edit and author complex, dynamic prompts. • Document your work and teach others within the company. • Proactively lead initiatives as the landscape evolves.

• Own full-cycle recruiting for senior GTM roles (AE, RevOps, CSM, sales engineering, marketing, and GTM leadership) • Build and convert pipeline directly from your network — not from generic outbound • Partner with the executive team and hiring managers to define role scope, calibrate the bar, and run a tight, high-conviction interview process • Sell candidates on the mission, the product, and the team with the same rigor a top AE sells the platform • Stand up and continuously improve the GTM recruiting process — ATS hygiene, scorecards, interview kits, calibration sessions, candidate experience, and pipeline reporting • Verify attainment with rigor — debriefs, peer references, deal walk-throughs — to separate strong closers from candidates who rode a great territory • Act as a culture carrier — protect the bar and represent 1mind in the broader GTM talent market

• Own full-cycle recruiting for senior technical roles (AI/ML, applied research, infra, fullstack, platform, and engineering leadership) • Build and convert pipeline directly from your network — not from generic outbound • Partner with the executive team and hiring managers to define role scope, calibrate the bar, and run a tight, high-conviction interview process • Sell candidates on the mission, the product, and the technical depth of the team with the same rigor a top AE sells the platform • Stand up and continuously improve the technical recruiting process — ATS hygiene, scorecards, interview kits, calibration sessions, candidate experience, and pipeline reporting • Stay credible in technical conversations across sub-disciplines — a rubric for distinguishing strong applied AI/ML engineers from elite ones, not just 'volume sourcer for engineers' • Act as a culture carrier — protect the bar and represent 1mind in the broader engineering and AI talent market

• Architect Superhuman Activation: Lead the technical discovery and "blueprint" phase for new customers, mapping their existing business systems to our AI framework. • System Mapping & Integration: Design and implement the data flows between 1mind agents and client tech stacks (CRMs, MAPs, APIs, and proprietary databases). • Experiential Configuration: Fine-tune Superhuman experiential elements such as visualizations, logic gates, and response triggers. • Customer Consultation: Serve as the technical face of the services team, guiding stakeholders through the activation journey and translating complex technical hurdles into clear, actionable outcomes. • Quality Assurance & Optimization: Conduct rigorous testing of agent behaviors pre & post-deployment to ensure peak performance and reliability. • Feedback Loop: Partner with Product and Engineering teams to advocate for new features and platform enhancements based on real-world activation challenges.

• Own a portfolio of customers from post-contract signature onboarding through renewal and growth, with accountability for outcomes and long-term success • Drive adoption and value realization through onboarding, enablement, and ongoing engagement, guiding customers through change as workflows evolve • Partner with customers to define success criteria and connect product usage to meaningful business outcomes • Serve as a strategic advisor to stakeholders across revenue, marketing, and operations teams • Lead renewals with a proactive, value-driven approach and identify expansion opportunities • Maintain clear visibility into customer health and communicate impact through business reviews focused on outcomes and next steps • Share customer insights internally to influence product direction and help scale repeatable success practices • Operate with a strong bias to action and comfort navigating ambiguity

• Design and build layered security controls across OS, Kubernetes, networks, identity, and CI/CD to protect high-value assets. • Drive deployment of security enhancements and policy changes across multi-region infrastructure. • Lead high-impact initiatives: checkpoint/model artifact protection and encryption, network isolation and segmentation, secrets and machine identity, policy-as-code, and secure storage/access pathways. • Automate detection, prevention, and response with guardrails and paved paths (IaC modules, validated baselines, admission controls). • Embed security into developer workflows (shift-left reviews, SAST/DAST/SCA, SBOM, provenance), and instrument robust observability for security signals. • Partner on risk assessments, threat modeling, and incident response; deliver postmortems and durable mitigations. • Champion a healthy security culture that enables rapid iteration while meeting reliability, safety, and compliance expectations.