AI Workflow Engineer

Tango

AI Workflow Engineer at Tango Analytics building and maintaining internal AI tools for various functions. Collaborating across teams to implement AI in real workflows and drive adoption.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI workflow integration, internal consulting, and business operations, with a strong focus on stakeholder management and change enablement. Proficient in evaluating software solutions and implementing AI-native tools in high-compliance environments.

Highest-signal resume keywords

AI Workflow IntegrationInternal AI Program DevelopmentStakeholder ManagementSoftware Solution EvaluationLow-Code/No-Code Prototyping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI-Native Tool DevelopmentWorkflow AutomationBusiness Process MappingData Handling ComplianceMeasurement FrameworksBuild vs Buy AssessmentAnalytical SkillsRequirements TranslationChange Management

Soft Skills

Excellent CommunicationInfluencing SkillsOwnershipBias to ActionCoaching

Tools & Technologies

SaaS ToolsAutomation SolutionsLow-Code ToolsNo-Code ToolsAI Tools

Industry Keywords

B2B SaaSEnterprise WorkflowsRegulated EnvironmentsPrivacySecurity

Tech Stack

Tools & technologies

About the role

Key responsibilities & impact

Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real operating workflows (not one-off demos).
Facilitate discovery: map current-state processes, quantify pain points, define “good” outcomes, and translate ambiguous needs into clear workflow requirements and success metrics.
Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity; align priorities with function leaders and the AI Transformation team.
Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation solutions), delivering a clear recommendation and implementation approach.
Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy and sustained adoption.
Create reusable patterns and standards for “AI in internal tools” (workflow templates, governance checklists, measurement frameworks) so other teams can move faster.
Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the-loop requirements).
Define evaluation and monitoring expectations for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback loops so workflows improve over time.

Requirements

What you’ll need

6+ years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or an equivalent role that sits at the intersection of business and technology.
Must have software-engineering experience, including 4+ years shipping internal AI-native tools to production.
Must have experience standing up an internal AI program, workflow automation COE, or “AI for employees” capability at a prior company.
Experience in B2B SaaS, enterprise workflows, and/or regulated or high-compliance environments (privacy, security, auditability).
Strong stakeholder management: comfortable influencing across functions, aligning senior leaders, and driving decisions amid competing priorities.
Ability to translate business problems into structured requirements, operating metrics, and phased delivery plans.
AI fluency: understanding of how LLM-based systems work (prompting, retrieval, tool use/function calling at a conceptual level) and how to evaluate quality, risk, and cost/latency trade-offs.
Experience evaluating and implementing software solutions (build vs buy), including vendor assessment, security reviews, rollout planning, and ongoing ownership models.
Comfort working with technical teams and artifacts (PRDs/briefs, user stories, acceptance criteria, basic data models).
Ability to prototype in low-code/no-code tools is a must.
Strong analytical and measurement skills: can baseline, instrument, and report outcomes; can distinguish adoption activity from true impact.
Excellent written and verbal communication: can create crisp briefs, run effective workshops, and communicate trade-offs to both technical and non-technical audiences.
High ownership and bias to action; thrives in fast-moving SaaS environments with evolving AI tooling.
Bachelor’s degree in a related field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience.

Benefits

Comp & perks

Comprehensive Benefits Including health, dental, and vision insurance
401(k) plan with company match
Generous paid time off to support your well-being
Flexible Work Environment Whether remote, hybrid, or in-office
Inclusive & Collaborative Culture