Job Search Playbook — Applications, Templates & Defaults

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Job Search Playbook — Applications, Templates & Defaults

Operational playbook for job applications, interviews, negotiations, and outreach. Contains defaults, scripts, templates, and behavioral stories that are not captured in the profile record or resume workspace.

Application Defaults

  • Target volume: 15–20 applications per week
  • Primary boards: LinkedIn (Easy Apply), Indeed, Handshake (Berkeley alumni), company portals (selective)
  • Auto-apply criteria: Easy Apply, senior/staff/principal level, TC >= $200K, AI/ML/HPC/quantum, remote or Bay Area
  • Never-apply criteria: Requires citizenship/clearance; pure biotech/pharma; heavy hardware/semiconductor; TC < $150K with no equity; requires traditional whiteboard/leetcode

Resume Variant Routing

| Role Type | Resume Variant | |-----------|---------------| | LLM / AI infra | Resume_MA_2026.pdf | | Research scientist | Resume_MA_2026.pdf | | Scientific ML / physics-ML | Resume_MA_2026_FEB.pdf | | Computational / HPC / quantum | Resume_MA_2026_FEB.pdf | | Full-stack / infra | Resume_MA_2026.pdf |

Compensation Parameters

| Scenario | Base Floor | TC Target | |----------|-----------|-----------| | Bay Area senior/staff AI/ML | $250K | $300K–$350K | | Remote US | $250K | $280K–$320K | | Early-stage with equity (1%+ seed/A) | $200K | Flex | | Principal / technical co-founder | $180K | 1.5%–3% equity |

Form Field Quick-Reference

| Field | Value | |-------|-------| | Full Name | Meshal Alawein | | Email | contact@meshal.ai | | Phone | +1-415-660-6676 | | Location | Berkeley, CA | | LinkedIn | linkedin.com/in/alawein | | GitHub | github.com/alawein | | Portfolio | meshal.ai | | Google Scholar | scholar.google.com/citations?user=IBE6GQAAAAJ | | Highest education | PhD, EECS, UC Berkeley (2025) | | Visa/sponsorship | Authorized, no sponsorship needed |

Work Authorization Script

"Authorized to work in the US on STEM-OPT (3-year extension, approximately 2.5 years remaining). No future sponsorship needed. Have been in the U.S. for 7+ years; well-positioned for EB-1A."

Screening Call Intro Pitch

"I'm Meshal Alawein — PhD from UC Berkeley in computational physics and ML systems. I specialize in LLM training infrastructure — SFT, RLHF, evaluation harnesses — and large-scale scientific computing. I recently founded Morphism Systems, building governed AI agent platforms. I'm targeting senior or staff-level roles in AI/ML engineering or research."

Long-Form Q&A Templates

"Why are you interested in this role?"

Generic: "I'm drawn to this role because it sits at the intersection of research depth and production engineering — exactly where I operate best."

LLM variant: Emphasize SFT/RLHF pipelines at Turing, governed agent infra at Morphism.

Scientific ML variant: Emphasize DFT/HPC workflows, ML surrogate integration, $160K savings.

"Describe a project you're proud of"

Three prepared stories with metrics: DFT/HPC pipeline ($160K savings, 70% speedup), SFT/RLHF pipelines (80% manual testing reduction), Morphism Systems (52 packages, 9 platforms).

Negotiation Parameters

  • Walk-away: $250K TC minimum ($200K with exceptional equity)
  • Stating expectations: "I'm targeting a base of $250K+, with total compensation in the $300K–$350K range."
  • Countering: "I appreciate the offer. Based on my background and the scope of this role, I was expecting something closer to [target]."
  • Stalling: "I have a few other conversations in final stages — could we extend the deadline by one to two weeks?"

Behavioral Stories Bank (STAR Format)

| Tag | Story | Key Result | |-----|-------|------------| | Ownership / Impact | DFT Pipeline Cost Optimization | 70% runtime reduction, $160K/year savings | | Leadership / Ambiguity | LLM Evaluation Infrastructure | 80% manual testing reduction | | Conflict / Communication | Research Quality vs. Speed | 16 papers, tools adopted by 10+ groups | | Failure / Learning | Over-Engineering Morphism | 50% faster dev cycle after refactor | | Ambiguity / Strategy | Morphism Product Direction | Clear roadmap, 200+ GitHub stars |

Technical Interview Modules

Three prepared system-design modules: Distributed Training Pipeline (DDP/FSDP → evaluation → registry), LLM Agent Infrastructure (structured output → validation → monitoring), High-Throughput Scientific Computing (SLURM → MPI/CUDA → regression testing).

Cover Letter & Outreach

Master cover letter skeleton, recruiter cold email, hiring manager outreach, warm referral ask, and follow-up templates are maintained in the source file.

Provenance: Condensed from Downloads/# SSOT – Meshal Profile & Defaults (~46KB, last updated 2026-02-28). The source file contains full-text templates, all Q&A variants, and complete behavioral stories. This record captures the essential parameters, defaults, and structure. Profile-level content (headline variants, bios, taglines) is already covered by db/profile/meshal-alawein.md and docs/career/profile-copy.yaml.