Thrive in Tech
9-Week Intensive Program

Engineering CareerAccelerator

Transform your engineering career with our comprehensive program designed to land you high-paying, AI-resistant hybrid roles at top tech companies.

Roles We Train You For

High-demand, AI-resistant positions that combine technical expertise with client-facing impact

Forward Deployed Engineer
Business Engineer
Solutions Engineer
Partner Engineer
Sales Engineer
Customer Success Engineer
Technical Solutions Consultant
Technical Support Engineer
Solutions Architect
Technical Account Executive
1

Phase 1 – Foundations

Days 1–3

Day 1

Orientation + Hybrid Role Deep Dive

  • What roles we are training for and why they're AI-resistant
  • Understanding client-facing + business impact positions
  • Market demand, salary ranges, and job descriptions
Day 2

Career Positioning Fundamentals

  • Identifying transferable skills (coding + communication)
  • How to frame "Why Hybrid Engineer?" in your career story
  • Self-assessment: current skills vs role expectations
Day 3

Resume + LinkedIn Baseline Audit

  • Fellows submit current resumes + LinkedIn for mentor review
  • Group walkthrough of strong vs weak examples
  • Assignment: baseline edits (to be refined in Phase 3)
2

Phase 2 – Technical Interview Assessment

Days 4–10

DS&A Mock Interviews (PriorityQ 10 Levels)

Day 4

Levels 1–2

Arrays, Hashmaps

Day 5

Levels 3–4

Stacks, Queues, Two Pointers

Day 6

Levels 5–6

Trees, Graphs

Day 7

Levels 7–8

Heaps, Sorting, Greedy

Day 8

Levels 9–10

Dynamic Programming, Backtracking

Day 9

System Design (1.5 days)

  • Morning: Full System Design #1 (e.g., "Design Twitter Feed")
  • Afternoon: Full System Design #2 (e.g., "Design Notification System")
  • Next Morning: Feedback session and discussion of trade-offs
Day 10

Behavioral Interviews (0.5 day)

Hybrid-role specific behavioral prompts:

  • "What experience do you have working cross functionally with sales and product?"
  • "Tell me about a time you worked with a difficult client."
  • "How do you explain a complex technical concept to a non-technical stakeholder?"
  • "Give me an example where you had to balance technical trade-offs with business needs."

Deliverable: Personal Interview Readiness Report

Scores and feedback on DS&A, system design, and behavioral performance with a custom prep track assignment.

Track A:Needs deeper DS&A practice → detour to Interview Prep course
Track B:DS&A solid → continue with accelerator
3

Phase 3 – Projects

Weeks 3–8

Format for Each Project

Pre-sales mock call (requirements gathering)
GTM planning session / roadmap influence
Build + Live Demo / Presentation Practice
Documentation deliverable (1–2 page client-facing doc)
Mock client call (handle objections & resistance)
Post-sales mock call
Live debugging scenario with "customer" feedback
Integrate the project into fellow resume
Project 1

Client Analytics Dashboard

Build a dashboard that ingests customer data and visualizes insights.

Hybrid Skill:Translating messy business data into actionable insights.

Project 2

API Integration + Automation Tool

Create a service that integrates multiple APIs (Stripe, Slack, HubSpot) and automates workflows.

Hybrid Skill:Explaining integrations in terms of business value.

Project 3

Cloud Migration Mini-Project

Migrate a sample app (Node/React) from one major cloud provider (AWS/GCP/Azure) to a different one (add serverless / containers).

Hybrid Skill:Explaining cost savings and scalability trade-offs.

Project 4

MCP (Model Context Protocol)

Build an MCP server that provides contextual answers from APIs + a knowledge base.

Hybrid Skill:Positioning AI assistants as cost-saving, support-enhancing solutions.

Project 5

Databricks Data Pipeline

Build an ETL pipeline that ingests raw data, transforms it, and presents insights.

Hybrid Skill:Framing data pipelines as tools for churn reduction and growth.

Project 6

Snowflake Data Warehouse

Consolidate multiple mock data sources into a Snowflake warehouse and run forecasting queries.

Hybrid Skill:Explaining revenue forecasting to business stakeholders.

Project 7

NVIDIA GPU-Powered Service

Deploy a lightweight image recognition model on GPU (CUDA/TensorRT) as an API hosted on DGX Cloud.

Hybrid Skill:Showing how GPU acceleration enables real-time, client-facing use cases.

4

Phase 4 – Final Prep

Weeks 9–12

Week 9

Interview Prep

Deep dive into hybrid interview formats: coding, system design, behavioral, and client-facing. 3 rounds of full mock interviews with feedback offered each week.

Week 10
Optional

AI Job Agent & Apprenticeships

Setup + customization of AI-powered job application agent. Automate 100+ tailored applications. Paid apprenticeship opportunities from partners: Equity Works, PriorityQ, Redefining Reflection, InfluenceOS.

Week 11
Optional

SQL Masterclass

Focused training on SQL queries and analytics tasks that come up in hybrid interviews.

Week 12
Optional

Stacking Roles

Strategy for layering a SWE job alongside a hybrid role and/or stacking multiple hybrid roles (for those seeking multiple offers to work concurrently).

Ongoing Post-Course Support

Lifetime access to templates & recordings
AI job agent access
Alumni community for networking & referrals

Ready to Transform Your Career?

Join the next cohort and start your journey to a high-paying, AI-resistant hybrid engineering role.