Engineering Associate — AI & Operations
E
Envision Horizons LLCECommerce
United States - RemoteFull-TimeEntry
Salary$80K - $100K; $80K – $100K • Offers Bonus; Estimated Base Salary $80K – $100K • Offers Bonus
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Job Details
- Experience
- Early-career
- Required Skills
- Analytical SkillsCross-functional collaborationProcess improvement
Requirements
- Bachelor’s degree in Engineering, Mathematics, or a related analytical field required
- Strong analytical and structured thinking skills, with the ability to break down complex, ambiguous processes into clear, repeatable workflows.
- Demonstrated ability to think deterministically and approach problems with logic, rigor, and attention to detail.
- Excellent listening and observational skills, with the ability to extract meaningful insights from real-world workflows.
- Strong written communication skills, particularly in documenting processes and translating business needs into clear requirements.
- Comfortable working cross-functionally with both technical and non-technical stakeholders.
- Interest in process improvement, systems thinking, and operational efficiency.
Responsibilities
- Complete a structured onboarding and immersion period by shadowing Account Managers (AMs), Account Directors (ADs), Account Coordinators (ACs), and front-office leadership.
- Observe and document day-to-day front-office activities, identifying manual processes, inefficiencies, and opportunities for automation.
- Conduct regular check-ins with team members to gather insights, validate observations, and build a comprehensive view of workflows across accounts.
- Translate ambiguous, non-technical business needs into clear, structured, and deterministic requirements.
- Develop detailed specifications and documentation to support automation and tooling initiatives.
- Partner closely with engineering and product teams to hand off well-defined project requirements and ensure alignment on intended outcomes.
- Contribute to prioritization efforts by building business cases, outlining impact, and supporting decision-making frameworks for automation initiatives.
- Serve as a bridge between front-office teams and technical teams.
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