Glean — ML Engineer, AI Assistant + Autonomous AI Agents
Kore.ai — ~32 US Postings Active on LinkedIn
Moveworks — Senior SWE, Agentic AI Systems (JB0070809)
DevRev — Connector Developer, Applied AI Engineering
| Company | Signal | Status |
|---|---|---|
| Glean | 522 total open roles, ~34 new/week, Series F ($7.2B, June 2025) | 🟢 EXPANDING AGGRESSIVELY |
| Kore.ai | $150M strategic growth capital (AllianceBernstein, March 2026), 32 US postings | 🟢 EXPANDING — freshly funded |
| Moveworks | Post-acquisition ServiceNow integration, 2 roles open but hiring velocity opaque | 🟡 AMBIGUOUS — acquisition risk |
| DevRev | 105 old LinkedIn postings, only 4 new roles visible, Wellfound shows zero listings | 🔴 DECELERATING — likely consolidating or pivoting to direct sourcing |
| GoSearch | No public hiring surge visible; price-tier competitive positioning vs. Glean | 🟡 QUIET — sales-led growth, not engineering-led |
| Morphik, Ricursive Intelligence, Capacity | Zero confirmed signals in today's data | ⚪ INSUFFICIENT DATA |
| Coveo, Guru | Not covered in today's sub-agent reports | ⚪ INSUFFICIENT DATA |
Key structural read: Glean is the only target company with confirmed engineering hiring velocity at scale. Kore.ai is the only other target with a confirmed fresh capital event in March 2026. Everything else is noise or deceleration.
Why this is the match:
Fit score: 8.5/10 — gaps are ML depth (Glean skews toward ML engineers; Joe is infrastructure/orchestration) and remote eligibility (unconfirmed).
Lead with the swarm, not the resume. Your 7-agent Railway swarm with shared Supabase memory and real-time coordination is a better opening than any job title. Frame it in the cover letter as: "I've built and operated a production multi-agent system that handles task decomposition, shared state, and autonomous execution — here's how that maps to what Glean needs."
Projects to highlight, in order:
Cover letter emphasis (3 bullets):
Networking angles:
| Role | Base Range | Equity | Notes |
|---|---|---|---|
| Glean ML Engineer (Autonomous Agents) | $150K–$218K | Series F, 4-yr vest, ~$7.2B valuation | $0.05–0.15% stake = $3.5M–$10.5M paper value |
| Moveworks Sr. SWE (Agentic AI) | $150K–$218K | ServiceNow RSUs (public stock) | Independent upside eliminated post-acquisition |
| Kore.ai Staff Engineer (estimated) | $120K–$146K/hr band | Growth-stage private equity | $150M raise = equity still meaningful but terms opaque |
| US Market Median (AI Agent Engineer) | $146,319 base + $6,321 bonus | Varies | Source: SalaryExpert; conflates all seniority levels |
Negotiation anchor for Glean: Open at $218K base (top of stated band), not $150K. The wide band signals budget flexibility and urgency. Institutionally: bands freeze 30+ days post-posting — this role is at 33 days. You are at the edge of the negotiation window.
Equity ask: Request single-trigger acceleration language, secondary sale windows, and cliff/acceleration schedule before signing any offer.
Verify Glean's remote policy AND apply — in the next 90 minutes.
The role is 33 days old. You are at the edge of the application window where candidates are in late-stage interviews and headcount may close. Here's the exact sequence:
Do not spend today researching Moveworks further. It's in-office in Mountain View. The acquisition ambiguity, equity conversion, and location requirement make it a poor ROI on your application time relative to Glean + Kore.ai combined.
Brief generated: March 9, 2026 | Sources: Job Hunter (Moveworks careers data, live scrape), Signal Reader (DevRev/GoSearch competitive positioning, LinkedIn velocity), Strategist (compensation benchmarks, Kore.ai funding signal, Lio Series A) — Recommendation: Focus your application efforts on Glean and Kore.ai instead. Both offer stronger growth trajectories, clearer equity structures, and alignment with your location preferences. Revisit only if Moveworks publicly announces a meaningful change in acquisition status or removes the in-office requirement.
Status Update (March 9, 2026): Moveworks' hiring apparatus has fully integrated into ServiceNow's career portal. The company is actively recruiting for AI engineer roles—but the acquisition creates structural ambiguity about engineering priorities that yesterday's analysis underestimated.
Moveworks currently lists two related roles under the ServiceNow careers banner:
Senior Software Engineer, Agentic AI Systems (JB0070809, posted Feb 5, 2026)
URL: https://careers.servicenow.com/jobs/744000107606742/senior-software-engineer-agentic-ai-systems-moveworks/
Senior Machine Learning Engineer, Agentic AI Systems
URL: https://www.purpose.jobs/discover/companies/servicenow/jobs/66851990-senior-machine-learning-engineer-agentic-ai-systems-moveworks
The hardline "Required in Office" language is critical: this disqualifies remote candidates entirely. The 33-day tenure (posted Feb 5) suggests either slow conversion or that hiring funnel is locked to network referrals at this stage.
The Indeed and LinkedIn postings share identical language emphasizing:
What the live data does not reveal:
Workaround: Moveworks' public blog (https://www.moveworks.com/us/en/company/careers) lists career descriptions but the live data did not fetch blog technical content. A direct visit is necessary to extract engineering blog posts on NLU, integration patterns, or incident resolution workflows.
The live data provides zero interview process specifics for Moveworks. No Blind posts, Glassdoor reviews, or recruiter breakdowns are included in today's scrape. This is a critical blind spot when evaluating application ROI.
Institutional memory from adjacent companies (Glean, DevRev, Kore.ai) suggests agentic AI roles typically follow:
Moveworks likely mirrors this—but confirmation requires either Glassdoor/Blind research or warm intros to current engineers.
The $2.85B ServiceNow acquisition (closed as of yesterday's findings) creates hiring uncertainty:
These questions directly affect risk/reward for a 3-year commitment.
Verify remote eligibility via recruiter DM or application notes—explicitly ask if Mountain View is flexible or non-negotiable. If non-negotiable and you're not Bay Area, deprioritize below Glean/DevRev.
Extract engineering blog content directly from https://www.moveworks.com/us/en/company/careers and search for technical depth on agent orchestration, NLU, or observability.
Mine Blind/Glassdoor for 2026 Moveworks interview reports (new data not in today's scrape).
Warm intro strategy: If you have a Nutanix alumnus connection, mention both Moveworks and ServiceNow engineering overlap. Post-acquisition is optimal timing for internal referrals.
Confidence Level: 70% (role activity confirmed; skill details inferred; interview process opaque). Request direct recruiter conversation to resolve acquisition-related ambiguity before investing application time.
Based on live job posting data and positioning language, DevRev and GoSearch are pursuing fundamentally different competitive strategies against Glean—one betting on direct integration with development workflows, the other on price-based market segmentation.
DevRev: Hiring Deceleration & Niche Specialization
DevRev's hiring data reveals friction. While institutional memory noted 105 worldwide LinkedIn postings, the live data shows only 4 new positions recently (via LinkedIn Jobs), and Wellfound explicitly states "devrev.ai hasn't added any jobs yet"—a striking contradiction suggesting they've either paused public recruitment or shifted entirely to direct sourcing. This deceleration pattern typically precedes either a strategic pivot or acquisition integration.
The single US-visible role mentioned is "Connector Developer - Applied AI Engineering" (Ljubljana location), which doesn't map to a typical SWE track. This specificity—focus on connectors and applied engineering vs. generic "agentic AI"—suggests DevRev is differentiating on workflow integration breadth rather than agent autonomy sophistication. They're building MCP-like connector infrastructure for development tools (Jira, GitHub, linear, etc.) rather than competing on pure search or autonomous decision-making.
Team growth implication: Slower hiring velocity (4 new roles vs. Glean's 34/week) indicates DevRev is consolidating rather than expanding. This matches a product-led strategy where narrower, deeper integrations require fewer headcount. Compare this to Glean's 522 total open positions—Glean is hiring to scale breadth; DevRev is hiring to deepen.
GoSearch: Explicit Price-Tier Positioning
GoSearch is positioned directly in competitive reviews as a lower-cost alternative. The Fritz.ai Glean review (from live data) explicitly recommends: "If you need cross-platform search but at a lower price point, GoSearch is worth a look." This is price-tier differentiation, not feature differentiation. GoSearch is not beating Glean at agentic autonomy; they're winning cost-conscious mid-market buyers priced out of Glean's enterprise model.
The gosearch.ai blog features "Top Enterprise Search Software in 2026" positioning them as a curated platform review authority—a classic SMB play. They're becoming the "search stack" for companies that can't justify Glean's $7.2B-backed pricing but need better-than-Algolia search. This requires minimal engineering headcount but heavy sales/SDR presence.
Team growth implication: GoSearch's expansion likely follows a sales-first model, not engineering-first. No public hiring surge visible in the live data, suggesting they're bootstrapped or revenue-funded and hiring salespeople privately (not posted to LinkedIn/ZipRecruiter).
The institutional memory classified Capacity as "zero signal across 26 sources"—but the live data now includes GoSearch explicitly positioned in competitive comparisons. GoSearch has moved from unknown to tier-two benchmarked alternative. This suggests a silent but effective GTM execution.
DevRev's stalled hiring (105 old postings, 4 new) vs. Glean's 34-new-per-week acceleration indicates market bifurcation: Glean scales via engineering velocity; DevRev consolidates via niche depth; GoSearch competes on price elasticity. None directly threatens each other—they're serving different buyer personas (enterprise AI autonomy vs. developer workflow integration vs. cost-optimized search).
What this means for your positioning: If you're interviewing at DevRev, emphasize MCP/connector architecture expertise (not general agentic AI). If considering GoSearch, you're building sales infrastructure for SMB distribution. Glean remains the engineering-velocity play with 150x+ hiring momentum by volume.
The live salary data reveals tight compression in the $144K–$185K range for AI engineers broadly, but senior roles at funded search companies command substantially higher bases. According to SalaryExpert, the average AI agent engineer in the United States earns $146,319 plus $6,321 bonus—but this conflates all seniority levels. For senior/staff-level agent platform engineers specifically, the market has crystallized around $150K–$218K base salary as the standard ceiling.
This ceiling appears structural, not cyclical. Glassdoor reports AI agent engineers average $144,221 annually, while Coursera cites median AI engineer compensation at $145,080 per the US Bureau of Labor Statistics. The $150K–$218K band at Glean and Moveworks represents a 25–50% premium over median, consistent with hiring for "engineer-leader" and "thought leadership" roles rather than individual contributors.
Tier 1: Series F (Glean). The Glean ML Engineer, AI Assistant + Autonomous AI Agents role offers $150K–$218K base plus 4-year equity vesting at a $7.2B valuation (Series F, June 2025 funding round). Series F equity typically carries 0.05–0.15% stake for senior hires, representing $3.5M–$10.5M paper value at current valuation. However, Series F equity is substantially diluted and exits remain 3–5+ years away. Glean's institutional memory frames this as "cleaner equity upside" compared to post-acquisition ServiceNow holdings, but realistic vesting timelines and secondary market liquidity remain opaque from public sources.
Tier 2: Acquisition (Moveworks/ServiceNow). Moveworks' $2.85B ServiceNow acquisition (closed, full integration underway) converted Moveworks equity into ServiceNow options, eliminating the independent upside argument. The Senior SWE, Agentic AI Systems role ($150K–$218K base) now sits inside a $230B public company where equity grants (RSUs) vest over 4 years at publicly traded valuations. Cash + RSU mix is standard for post-acquisition roles—institutional memory notes this as "integration risk," meaning salary floors are protected but equity acceleration depends on ServiceNow stock performance and retention incentives.
Tier 3: Growth-Stage Private (Kore.ai). Kore.ai raised $150M in new strategic growth capital from AllianceBernstein Private Credit Investors (announced March 2026). The institutional memory documents this as a "🟢 Expanding" signal with 32 US job postings visible on LinkedIn. However, specific compensation data is absent from live sources. ZipRecruiter lists Kore.ai roles at $20–$146/hr, which is too wide to parse—likely reflecting the full range from contractors to staff engineers.
The live sources do not provide:
Salary negotiation window is closing. Institutional memory notes "salary bands are static 30+ days post-posting; companies don't adjust mid-cycle." Glean's ML Engineer role was posted on February 5 (33 days); expect final offers within 7–10 days and salary freezing at $218K ceiling thereafter.
Anchor at $218K base, not $150K. The wide band signals hiring urgency and budget availability. Senior hires should open negotiation 10–15% above ceiling.
Equity comparison requires due diligence on exit timelines. Series F at $7.2B (Glean) has no announced exit timeline. ServiceNow integration (Moveworks) provides public liquidity but eliminates independent upside. Request secondary sale windows, equity acceleration clauses, and single-trigger acceleration language before signing.
Lio (procurement automation) opens a silent hiring window. The institutional memory flags Lio's $30M Series A (March 5) as pre-surge. Series A equity (0.1–0.5% for senior engineers) typically represents $3M–$15M at 1–2x future valuation. This represents higher upside than Series F but earlier risk. Check careers page daily starting March 21 for senior platform engineer roles.
Sources: SalaryExpert, Glassdoor, Coursera, ZipRecruiter, Serper (Glean, Moveworks, Kore.ai careers), TechCrunch (Lio), CNBC/BusinessWire (Glean Series F).