$380,000 Salary Awaits Cresta’s Senior Sales Director

The Hiring Wave in Numbers

Cresta listed 101 open roles as of July 21. Third-party aggregators confirm the count. DreamworkHQ, which scrapes the public career site daily, recorded 130 roles on May 23 and 101 on July 21 — a 41 percent drop that still leaves the company hiring at roughly two new roles per week. Nine positions appeared in the last 30 days alone. Zero G Talent's first-party board data for Cresta shows 46 vetted listings with a salary band spanning $60,000 to $380,000 and a median of $180,000.

Engineering dominates demand. Forty-two of the 101 DreamworkHQ-tracked roles sit in engineering — 42 percent of the total — followed by sales at 25, marketing at 10, and customer success at 8. Product, design, data science, HR, finance, and legal make up the remainder. The first-party board confirms the tilt: the two most recent additions are a Staff Machine Learning Engineer ($230,000–$300,000) and a Head of Global Talent Acquisition ($220,000–$300,000), while three senior sales directorships each carry bands above $320,000.

Seniority skews heavily toward experienced hires. More than half the tracked roles are tagged Senior; another 12 percent are Director, and 9 percent each are Staff and Mid. Junior, Intern, Principal, VP, and Manager roles together account for less than one in five.

Geography tells a similar story. Four in five openings are remote — 81 of 101 — with the largest clusters in the United States (42), Canada (10), the United Kingdom (9), and Australia (6). Hybrid hubs exist in Berlin (4), New York (2), San Francisco (2), Toronto (2), and Cluj, Romania (2). A single onsite role rounds out the list. The first-party board's latest postings are all tagged United States (Remote) or hybrid New York/San Francisco, reinforcing the remote-first default.

Cresta's public framing ties the push to product momentum. The careers page highlights the new Training Simulator — "Dynamic AI-powered training for human agents" — and the broader mission: "turn every conversation into a competitive advantage." Investors Sequoia, Greylock, and WiL are name-checked as validation.

Inside the Engineering Screen

Cresta's engineering interview process runs three rounds across three to five weeks, a timeline that has held steady through the current hiring wave. The company does not hide the structure: an online coding challenge, two technical phone screens, and an onsite loop of three to four sessions. Glassdoor aggregates show a 3.2-out-of-5 difficulty rating on the U.S. site and 3.0 on the Canadian portal, with positive-experience scores of 41 percent and 21 percent respectively — numbers that suggest the bar is real and the experience polarizing.

The online challenge moves fast. Candidates face a multi-faceted test blending classic algorithmic problems with domain-specific sections such as SQL or frontend concepts, depending on the role. Per-problem timers gate each question; once a timer expires the platform locks that solution even if the overall session clock still runs. Dataford's 2026 guide notes that many candidates fail because they start coding before they have mapped the problem's boundaries — a habit the timer punishes ruthlessly.

Phone screens test live coding speed and accuracy. Interviewers typically ask for multiple medium-level algorithmic solutions in a single call, expecting clean, syntactically correct code written without heavy IDE autocomplete. The guide emphasizes language-specific syntax fluency: candidates are often asked to implement graphs, custom matrices, or traversal algorithms from scratch. Cresta's engineering work — real-time streaming pipelines, low-latency LLM integration, high-throughput conversational analytics — means the team values engineers who can reason about data structures at the metal level, not just import a library.

The onsite loop splits into four distinct evaluations. A deep-dive coding session probes problem-solving process and custom data-structure implementation. A system design interview demands flexibility within structure: interviewers frequently hold a target architectural model in mind and expect candidates to listen to hints, ask clarifying questions, and adapt without abandoning core engineering principles. A project presentation to an engineering panel requires candidates to open with the business goal, zoom into system architecture, and then drill into one or two specific technical challenges they personally solved — ownership and trade-off articulation matter as much as the architecture itself. A hiring manager conversation closes the loop.

Machine learning candidates face a parallel track. PracHub's 2026 collection lists two verified ML interview questions with detailed solutions, signaling that Cresta tests modeling fundamentals alongside production integration skills. The first-party board shows a Staff Machine Learning Engineer role listed at $230,000–$300,000, confirming senior ML talent is in the current slate. Engineers at Cresta collaborate closely with ML peers to build APIs and data pipelines that feed models and return inferences in milliseconds; the screen therefore weighs system performance, API design, and state management alongside pure modeling knowledge.

Senior Software Engineer and Software Engineer applicants report the hardest interviews across roles, per Glassdoor's role-level breakdown. The consistent theme across every round: Cresta wants to see how you think when the problem is disguised, the timer is ticking, and the interviewer is steering you toward a specific constraint. Candidates who memorize patterns stall; candidates who decompose inputs, outputs, and constraints aloud before writing code advance.

The Behavioral Bar

Cresta's behavioral screen isn't a checkbox exercise. The company sells AI that sits inside customer conversations, so the people it hires must prove they understand those conversations from the inside out. Interview guides for the Customer Success Engineer role, updated as of July 2026, list four evaluation pillars: Technical Expertise, Customer-Centric Mindset, Communication Skills, and Adaptability. The last three are behavioral by design.

The question set is specific. Candidates hear: "Tell me about a time you had to persuade a client to adopt a new feature." "How do you manage competing priorities among multiple clients?" "Describe a situation where you had to collaborate with a team to achieve a goal." "What is your approach to giving and receiving feedback?" "How do you ensure clear communication with clients during a project?" "What does customer success mean to you?" "How do you embody a customer-centric mindset in your work?" "Describe a time when you went above and beyond for a customer." "How do you handle ambiguity in your role?" "What do you believe is essential for building lasting client relationships?"

These map directly to the role's daily work: conducting regular check-ins to assess client satisfaction, analyzing usage data to recommend improvements, collaborating with product and engineering teams to relay feedback, preparing and delivering business reviews, and developing educational resources. The mock Business Review, a simulated client presentation using real data, tests whether a candidate can translate analysis into a narrative that drives decisions. Interviewers watch for structure, clarity, and the ability to field pushback without retreating into jargon.

Interviewers are trained to listen for the "why" behind the "what." A widely cited coaching video emphasizes that behavioral questions exist to reveal thought process, not just outcomes. The STAR method (Situation, Task, Action, Result) remains the expected framework, but the Result step is where most candidates falter. They stop at "we worked well together" instead of quantifying what changed: retention saved, expansion revenue unlocked, escalation avoided. Interviewers also probe for perspective-taking: did the candidate stay patient during a difficult interaction? Did they adapt their approach when the first tactic failed?

Cresta's own hiring documentation states the company "fosters a collaborative and innovative environment" and values "customer success, teamwork, and continuous improvement." That phrasing appears in the same guide that lists the mock Business Review and the two-to-four-week interview timeline. Glassdoor aggregates 43 interview questions and 49 reviews for Cresta, suggesting the process is consistent enough to generate a pattern candidates can study.

The collaboration assessment isn't abstract. The role requires relaying customer feedback to product and engineering, a translation layer between technical and commercial teams. Candidates who treat collaboration as "getting along" miss the signal. Interviewers look for evidence of influencing without authority, surfacing trade-offs early, and closing the loop so the customer sees their input reflected in the roadmap.

Ambiguity tolerance gets its own question for a reason. Cresta's product evolves weekly; client needs shift mid-quarter. The behavioral screen filters for people who have operated in that rhythm before, preferably in a startup or high-growth environment, listed as a nice-to-have qualification. The mock Business Review doubles as an ambiguity test: the data set is incomplete, the stakeholder priorities conflict, and the candidate must recommend a path forward anyway.

Candidates who reach the final stage have typically spent two to four weeks in the funnel. Offers follow within a week of the last interview.

Selling the Enterprise Deal

Cresta's go-to-market engine runs on enterprise deals, including Alaska Airlines, Cox Communications, Intuit, United Airlines, Brinks Home, Optimum, and a Fortune 500 bank, and the roles posted on the company's careers page and Zero G Talent's board read like a map of that motion: Regional Vice President of Sales, Head of Sales, Senior Vice President of Sales, Enterprise Account Executive, Strategic Account Executive, Enterprise Sales Director, Enterprise Sales Representative, and Business Development Representative. The most recent board listings show Zero G Talent's figures put Director, Enterprise Sales, West at $330k–$380k, Zero G Talent's data shows Strategic Sales Director, West and East at $320k–$360k, and according to Zero G Talent a Head of Demand Generation & Growth Marketing at $280k–$330k. Those bands signal that Cresta is hiring closers who can manage six- and seven-figure cycles, not volume dialers.

The product they're selling is a unified agentic platform: AI agents, AI-augmented human assistance, conversation intelligence, coaching, and quality management. That complexity shapes the screen. A candidate who has only sold seat-license SaaS will struggle to articulate how Cresta's "Expertise AI" differs from Gong's revenue intelligence or Parloa's voice automation. The company's own leadership underscores the bar: Matthew Mulqueen (VP of Sales), Jeffrey Kirchick (Strategic Sales Director), and Adam Walton (VP of Business Development and Growth) all carry backgrounds in high-touch, technical enterprise sales. Antony Passemard, who joined as VP of Customer Strategy after running Google Cloud's Contact Center AI business, has argued publicly that the bottleneck in the market is no longer model quality but the gap between demo and production, a talking point every Cresta rep must internalize.

Screening for these roles therefore weighs three dimensions. First, domain fluency. Interviewers probe whether a candidate can speak the language of contact-center operations: average handle time, first-call resolution, quality-management sampling rates, the regulatory constraints of all-party consent states (the June 2025 class action, Galanter v. Cresta Intelligence Inc., made that risk concrete). A rep who cannot explain why Metrigy found 85 percent of consumers still prefer a human agent, and how Cresta's Training Simulator and AI Agent address that preference without hallucinating, will not advance.

Second, consultative motion. Cresta's deals are multi-threaded: CIOs evaluate architecture, COOs model ROI, contact-center VPs vet change management. The screen tests whether a candidate has run a champion-challenger pilot, built a business case tied to incremental revenue (Cresta claims hundreds of millions delivered for clients), and managed procurement in regulated verticals such as airlines, telcos, and financial services. The Madrid office opening and APAC/EMEA expansion add a layer: reps must demonstrate comfort selling across data-sovereignty regimes and partner ecosystems like the TELUS Digital alliance.

Third, customer-centric storytelling. Sai Vivek, Chief Customer Officer, framed Cresta Conductor's differentiation as "builds from real conversations, business knowledge, and operational logic, not just prompts." That line is a litmus test. Candidates are asked to walk through a recent deal where they translated a prospect's operational pain into a product narrative, and where they walked away because the fit wasn't real. The company's own marketing leans on case studies (Alaska Airlines' caring service at scale, Cox's revenue growth, Brinks Home's cost cuts); sales hires are expected to carry those stories credibly, not recite them.

The behavioral rubric mirrors the engineering side's emphasis on collaboration, but the vocabulary shifts: "customer obsession" replaces "code quality," "pipeline discipline" replaces "test coverage." Reference calls focus on whether the candidate has protected a client's outcome post-sale, a direct echo of Passemard's prediction that human service will become a brand differentiator within two to three years. In a market crowded with generative AI demos, Cresta's screen filters for reps who can sell the boring, hard work of production-grade reliability.

How Candidates Are Preparing

The first-party board data shows 46 live roles as of the latest ingest, with three added in the past seven days: Director, Enterprise Sales, West; Strategic Sales Director, West; and Strategic Sales Director, East among them. The salary bands ($60k–$380k, median $180k) and the mix of remote, hybrid, and hub-based locations (Palo Alto, New York, San Francisco, Madrid, APAC) tell applicants that geographic flexibility is real but that the highest-leverage roles cluster around the Bay Area and the new EMEA hub.

Cresta's stack, transformer models deployed for real-time inference at Intuit, Cox, Alaska Airlines, and a Fortune 500 bank, means ML engineers are drilling low-latency serving, model distillation, and evaluation frameworks that go beyond offline metrics. The launch of Cresta Conductor, described by Chief Customer Officer Sai Vivek as a no-code orchestration engine as previously noted, has pushed applicants to study conversation-design patterns, deterministic workflow construction, and the evaluation loops that turn pilot demos into production-grade agents. Candidates are re-reading the Forrester Wave write-up that named Cresta a Leader in Conversation Intelligence for the Contact Center (June 2025) to internalize the product's competitive positioning.

On the go-to-market side, the recent hire of Antony Passemard (ex-Google Cloud Contact Center AI, Salesforce, AWS) as VP of Customer Strategy and Luis Miguel Alcedo as RVP of Southern Europe signals that Cresta is staffing for enterprise complexity. Sales candidates are preparing case studies around the published customer wins, including United Airlines, Brinks Home, Optimum, and SCAN Health Plan, and rehearsing the "human-in-the-loop" narrative that Passemard has been broadcasting: smaller, more skilled human teams within two to three years, with human service as a brand differentiator. The Metrigy stat he cites (roughly 85 percent of consumers prefer speaking with a human) has become a talking point in mock interviews.

The Forbes "America's Best Startup Employers" trajectory (#346 (2024), #154 (2025), #58 (2026)) is being used as a culture proxy. Applicants reference the climb to argue that Cresta's internal operating rhythm is maturing fast, so they rehearse stories about scaling processes, not just building features. The $125M Series D (November 2024, $270M total) and the class-action lawsuit filed June 13, 2025 (Galanter v. Cresta Intelligence Inc., California privacy laws on call monitoring) both appear in prep docs: the funding as runway confidence, the lawsuit as a prompt to demonstrate regulatory awareness in behavioral rounds.

The ones advancing furthest appear to be those who can trace a line from Cresta's 2017 Stanford AI Lab origins (Thrun, Shi, Enam) through the pivot to Voice Agent Assist, the Opera launch, and the current AI Agent push, and then articulate where their specific skill set plugs into the next 12 months of roadmap. The screen rewards that synthesis; the community is still learning to produce it.

What This Story Doesn't Cover

This article examines how Cresta structures its hiring screens, including the technical assessments, behavioral interviews, and go-to-market evaluations that candidates face when applying for the roughly 99 open roles the company has advertised across engineering, product, and revenue teams. It does not analyze compensation packages, equity grants, or long-term retention outcomes. Those topics are deliberately excluded.

The Zero G Talent board lists 46 active Cresta postings with a published salary band ranging from $60,000 to $380,000 per year and that median. Recent listings illustrate the spread: that role shows $230,000–$300,000; that role lists $220,000–$300,000; that role posts $280,000–$330,000; and three senior sales director roles (East, West, and Enterprise) each fall between $320,000 and $380,000. These figures reflect base-salary ranges as posted on the board at the time of ingestion. They do not include variable compensation, sign-on bonuses, or equity components, and the board does not capture the full equity structure, such as strike prices, vesting schedules, or refresh policies, for any role.

Equity compensation at a private AI company like Cresta typically involves incentive stock options or restricted stock units tied to a 409A valuation that updates periodically. The size of a grant depends on role level, hiring vintage, and the company's most recent preferred-price round. Because those variables change with each financing event and are rarely disclosed in public job postings, any generalization would be speculative. The same holds for benefits details, such as health-plan design, 401(k) matching, learning stipends, or parental-leave policies, which vary by geography and employment classification and are not part of the screening criteria this article covers.

Retention metrics are equally outside this analysis. Turnover rates, median tenure, or promotion velocity for Cresta employees are not publicly reported in a standardized way, and the job board does not track post-hire outcomes. Anecdotal signals from employee-review sites or LinkedIn alumni searches can suggest patterns, but they suffer from selection bias and lag. Without company-provided cohort data or a longitudinal study, any claim about how long hires stay or how often they advance would be unsupported.

The 101 roles posted on July 21 will close, reopen, and close again, each cycle filtering for the engineers who can ship streaming inference at the metal level and the reps who can translate a contact center's operational pain into a production-grade AI narrative. The screen doesn't just test skill; it tests whether a candidate has already lived the problem Cresta is paid to solve.

Working in frontier tech? Zero G Talent tracks the openings: see every open Cresta role, browse frontier tech jobs, the companies hiring, and the people building the field.