1

Structured Labs Jobs in Tennessee (NOW HIRING)

... structured launch briefs, rolebased guidance, and inflow practice using Glean and agents as the ... labs) that deliver justintime coaching in the tools where GTM already works. * Act as a champion ...

Showing results 41-60

Structured Labs information

What is Structured Labs?

Structured Labs refers to specialized environments or facilities designed to conduct controlled experiments, testing, or research, often in fields such as technology, science, or finance. These labs provide structured processes, protocols, and tools to ensure accuracy and repeatability of experiments. Structured Labs can be found in academic institutions, research organizations, or within companies developing new products and technologies. Their main goal is to facilitate innovation, validate hypotheses, and improve the reliability of results.

What are the key skills and qualifications needed to thrive as a Structured Labs analyst, and why are they important?

To thrive as a Structured Labs Analyst, you need strong analytical skills, a background in finance or quantitative fields, and familiarity with structured finance concepts, often supported by a relevant degree. Proficiency with financial modeling tools such as Excel, VBA, and platforms like Bloomberg or Intex, along with certifications like CFA or FRM, is highly valuable. Attention to detail, problem-solving, and effective communication are crucial soft skills in this role. These capabilities enable accurate analysis of complex financial instruments and support sound decision-making in fast-paced, high-stakes environments.

What are some typical challenges faced by professionals working in Structured Labs roles, and how can they be addressed?

Professionals in Structured Labs often encounter challenges such as managing complex data sets, ensuring compliance with strict regulatory standards, and collaborating effectively with cross-functional teams like product development and compliance. To address these, it’s important to maintain strong organizational skills, stay updated on regulatory changes, and communicate proactively with stakeholders. Many teams use agile methodologies to facilitate collaboration and regularly hold knowledge-sharing sessions to ensure best practices are followed.

What is the difference between Structured Labs vs Data Analyst?

AspectStructured LabsData Analyst
Required CredentialsTypically requires a background in data science, programming, or engineering; certifications in data analysis or related fields are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are beneficial
Work EnvironmentUsually in tech companies, research labs, or startups focusing on data-driven projectsCommonly in corporate settings, consulting firms, or finance sectors analyzing business data
Employer & Industry UsageUsed by tech firms, research institutions, and innovative startupsWidely used across industries like finance, healthcare, marketing, and consulting

Structured Labs and Data Analysts both work with data, but Structured Labs often focus on developing data-driven solutions and research, while Data Analysts primarily interpret existing data to inform business decisions. The roles overlap in skills but differ in scope and application.

What cities in Tennessee are hiring for Structured Labs jobs?

Cities in Tennessee with the most Structured Labs job openings:

GTM Enablement Manager

Glean

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

About the Role:

Glean is seeking a Product Enablement Manager to sit at the intersection of Product, Product Marketing, and GTM Enablement. In this role, you will be the connective tissue between a fastmoving Work AI platform and our customerfacing teams, turning launches, roadmap bets, and complex product capabilities into clear, usable narratives, workflows, and trainings that drive adoption and revenue impact across the gotomarket organization.

You will also be a key builder and collaborator on our AIfirst enablement vision: using Glean and agents to turn fragmented launch signals into roleaware guidance, inflow practice, and visible readiness signals. Instead of relying on pointintime trainings alone, you'll design and build an alwayson, AIassisted enablement system that keeps GTM teams current on what changed, why it matters, and how to use it in real deals. For this role, you must be excited to use AI to build new workflows and processes from a first principles, AI-first approach. 

You will: 

  • Own the GTMfacing layer of product enablement, translating release notes, specs, and technical documentation into "what this means for the field" guidance: when to use new capabilities, which personas and use cases to target, and what proof points and stories to lean on.
  • Build and maintain a scalable product enablement program for GTM teams (Initially the focus will be Sales, but can expand and overlap to SEs/SAs, Customer Outcomes, Support, Partnerships), covering launches, core product foundations, advanced AI capabilities, and platformlevel narratives.
  • Design and deliver highimpact enablement sessions on new features, packages, and workflows, with a focus on active practice, demos, and application to real customer scenarios, not just slides.
  • Partner closely with Product, Product Marketing, Competitive, Sales, Technical Enablement, and Customer Outcomes to ensure GTM teams are launchready for Tier 1 and Tier 2 releases, with clear talk tracks, demo flows, objection handling, and enablement bundles.
  • Work with Field and Technical Enablement peers to embed product learning into broader programs such as onboarding, certifications, deal coaching, and manager enablement, so product knowledge shows up in how we sell and support, not just in standalone trainings.
  • Design and operate an AIfirst "launchtoenable" loop: help define how product changes (release notes, docs, support patterns) become structured launch briefs, rolebased guidance, and inflow practice using Glean and agents as the backbone.
  • Partner with Technical Enablement and AI product teams to build and maintain AIpowered enablement surfaces (e.g., roleaware "what's new" views, browseroverlay guidance, agentdriven labs) that deliver justintime coaching in the tools where GTM already works.
  • Act as a champion and codesigner of our AIfirst enablement system by collaborating on 30/60/90day MVPs (e.g., an enablementowned launch hub, roleaware readiness signals, agentassisted certifications) and feeding field feedback back into our AI enablement roadmap.
About you:
  • 5+ years in B2B SaaS gotomarket roles such as product enablement, sales/revenue enablement, product marketing, solutions engineering, or similar roles with heavy product ownership and field interaction.
  • Proven track record translating complex, technical, or AIheavy product concepts into simple, compelling narratives, talk tracks, and trainings that GTM teams actually use in the field.
  • Strong familiarity with modern valuebased sales methodologies (e.g., Command of the Message, MEDDICC/MEDDPICC, or similar) and how product stories must align to business problems, outcomes, and proof points, not just features.
  • Solid understanding of how AI products work at a conceptual level (e.g., large language models, retrievalaugmented generation, knowledge graphs, security and permissions), even if you are not a deep technical expert, and curiosity about how Work AI changes selling and customer workflows.
  • Handson experience using AI tools to design, deliver, or scale enablement, for example, using AI to draft curricula, build interactive labs, power selfserve Q&A, or run lightweight, agentassisted certifications.
  • Strong project and program management skills: able to juggle multiple launches, stakeholder groups, and content streams while keeping timelines, dependencies, and success metrics clear.
  • Comfortable operating in ambiguity and a highchange environment, you can keep up with a fast product release cadence, find signal in the noise, and quickly determine what the field actually needs versus what would be "nice to have."
  • A systems thinker who gets excited about turning oneoff trainings into durable, AIpowered enablement experiences, you think in terms of loops, signals, and workflows, not just events.

Location

  • This role is hybrid (4 days a week in one of our office locations NYC, Nashville, SF, Mountain View)

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $187,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. 

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

 #LI-HYBRID