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Latent AI

Strategic Partnerships and Growth Operations Intern (Pro Bono)

Sorry, this job was removed at 10:10 p.m. (PST) on Wednesday, Jun 03, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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Who we are

Latent AI delivers edge AI solutions that enable rapid deployment of artificial intelligence capabilities on any device. Founded in 2018, the company's developer platform helps government and commercial organizations implement efficient, secure AI solutions at the edge. Latent AI's tools enable developers to build and update secure, adaptive models for field or laboratory use, serving defense and commercial customers. For more information, visit latentai.com.


What we do

Latent AI is dedicated to unlocking the power of efficient and practical AI for real-world applications. Our deep expertise empowers organizations to seamlessly integrate AI into their operations, revolutionizing how they utilize edge devices. We understand the complexities of bringing AI to diverse devices. That's why we create solutions that simplify the process, making it accessible to a broader range of developers. This enables organizations to build better, safer AI faster.



Objective

Support Latent AI ahead of a Series B by contributing to three priority areas: organizational scaling, product market fit, and account support. The internship should produce practical outputs that help the company sharpen its growth strategy, improve product packaging and pricing, and support near-term go-to-market execution.


Workstream 1: Post-Raise Workforce and Company Footprint Model

Goal : Build a practical model for how Latent AI would scale after a raise.


Key Deliverables:

● Current-state organizational baseline

● Three growth scenarios tied to company priorities

● Hiring roadmap by function

● Cost model aligned to growth assumptions

● Executive memo with recommendations


Milestones:

● Weeks 1 to 2: Baseline current team structure, roles, and operating assumptions

● Weeks 3 to 4: Build growth scenarios tied to revenue and product priorities

● Week 5: Draft hiring roadmap

● Weeks 6 to 8: Refine cost model and functional dependencies

● Week 9: Executive memo draft

● Week 10: Final presentation


Workstream 2: Product Market Fit, Product Definition, and Pricing

Goal : Define Latent AI’s core offers more clearly, assess where they have the strongest market fit, and recommend pricing and packaging that support repeatable growth instead of one-off custom work.


Key Deliverables:

● Product definition of current and near-term offers

● Clear articulation of target buyer, user, and problem solved for each offer

● Market fit analysis by segment, use case, and GTM motion

● Prioritized ideal customer profiles and use case wedges

● Pricing and packaging recommendations for core offers

● Executive memo with recommended product, market, and pricing focus


Milestones:

● Weeks 1 to 2: Interview internal stakeholders and document current products, services, and customer use cases

● Weeks 3 to 4: Define core offers, target buyers, and product boundaries

● Weeks 5 to 6: Conduct market fit analysis across customer segments, use cases, and competitive alternatives

● Week 7: Identify top priority product-market wedges

● Week 8: Develop pricing and packaging options

● Week 9: Draft recommendation memo with proposed focus areas

● Week 10: Final presentation and handoff


Workstream 3: Sales Strategy and Research Support

Goal : Support near-term revenue by giving account executives cleaner account strategy and reusable research tools.


Key Deliverables:

● Account briefs for priority opportunities

● Pursuit research packs

● Partner and customer talking points

● AE research toolkit and template set


Milestones:

● Week 1: Identify priority accounts and pursuits

● Week 2: Create standard account brief template

● Weeks 3 to 8: Provide ongoing support for priority opportunities

● Week 7: Draft toolkit and templates

● Week 10: Final toolkit handoff


Weekly Cadence

● Monday: Align on weekly priorities and outputs

● Midweek: Checkpoint on progress, findings, and blockers

● Friday: Written update with completed work, insights, and next steps


Final Outputs

By the end of the internship, the intern should deliver:

● A post-Series B workforce growth model

● A product definition and packaging framework

● A product market fit analysis with top recommended wedges

● A pricing and packaging recommendation

● Account strategy and research tools for the AEs

● A final executive readout tying together organizational planning, product strategy, and go-to-market execution


Success Criteria

A successful internship will produce work that can be directly used by leadership in planning, fundraising, product strategy, and sales execution. The output should be practical, decision-oriented, and reusable beyond the internship itself.


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