Careers at Cresta: Teams, Pay and How to Get Hired

Who Gets Hired

Cresta Intelligence runs 775 people across 11 global offices on a $125 million Series D war chest and lists 99 open roles, per Cresta's careers page. The contact center has been a graveyard for automation promises; Cresta bets the problem isn't the tech — it's the people who can make it work in production, at scale, while a customer is on the line.

The company organizes around that bet. Engineering carries the most listings on the careers page, but the mix reveals the real shape: product, solutions engineering, customer success, professional services, sales, and a dedicated intern pipeline all hire in parallel. Engineering roles cluster around the AI agent stack — Senior and Staff Backend roles for AI Agent, Runtime, Integrations, and Voice Experience; Frontend and Platform roles for AI Receptionist, Desktop & Browser Applications, and Kubernetes infrastructure. TheOrg's org chart puts 56 people in Software Development and 15 in the Software Engineering Team proper, a distinction that maps to platform versus product-surface work.

Product hires sit close to deployment. Forward Deployed Product Manager, AI Agent appears in multiple geographies including EMEA. Professional Services carries the implementation burden: AI Deployment Manager, Conversational Designer, and Associate Conversational AI Designer. Customer Success fields AI Success Manager, Embedded AI Expert, Solutions Architect, Customer Engineer, and Application Support Engineer, roles that blend technical depth with account ownership. Sales runs enterprise-heavy across West, East, APAC, EMEA, Iberia, and Australia, supported by Solutions Engineers and Demo Engineers. TheOrg counts 42 in Strategic Sales, 32 in Sales Development, 25 in Solutions Engineering, and 21 in Sales Operations. The intern class spans Machine Learning Engineering, Data Science, Forward Deployed Engineering, AI Quality Assurance, Product Design, and Software Engineer, a pipeline feeding every technical team.

Leadership signals the hiring priority. Ping Wu, CEO since August 2021, oversaw the $125 million Series D in 2024. Tim Shi, co-founder and CTO, drives research and launched AI Agent Copilot and Virtual Agent features. Alex Cramer, CRO since July 2023, closed CVS, United Airlines, and Airbnb. Russell Banzon, CMO since April 2024, more than doubled pipeline and added CarMax and Hilton. Adam Walton, CCO since 2023, built scaled onboarding that lifted Net Promoter Scores and upsell rates. Vahid Manie, CFO since May 2022, architected the Series D financial readiness. Sai Vivek joined as Field CTO in November 2024 to run proof-of-concept projects for enterprise accounts.

Employee accounts converge on a profile: high talent density, ownership bias, and comfort with uncomfortable truth. Dong Zhao, Software Engineer, calls it "100x engineers who push each other." Florin Szilagyi, Software and Business Development Consultant, notes the bar stays high on empathy and curiosity, not just engineering. The culture page codifies it: mission is the boss, patient in strategy but impatient in execution, stay lean, have the courage to be disliked, jump in.

What Cresta Pays

Cresta compensates like a late‑stage startup that has raised serious capital and needs to win talent from the same pool as Meta, Google, and the larger contact‑center incumbents. Levels.fyi shows a median total‑compensation package of $221,100 across all roles, while Salary.com puts the average base salary at $127,378, a gap signaling that equity and variable pay make up a meaningful share of the offer. The board's own live listings, which reflect what Cresta is actually posting today, show a salary band of roughly $62,000 to $300,000 with a median of $205,000 across 41 salaried roles. That range is wider than the third‑party aggregates suggest, because the board captures both early‑career individual‑contributor posts and the senior leadership slots the company is actively filling.

The board postings make clear that Cresta's highest cash bands sit in go‑to‑market leadership: three sales director roles each top out above $350k, and the Head of Demand Generation clears $280k. Engineering leadership is not far behind — Staff MLE posts at $230k–$300k, Zero G Talent's postings show, while the Head of Global Talent Acquisition lands at $220k–$300k, according to Zero G Talent, reflecting the premium the company places on recruiting in a tight AI labor market. Levels.fyi's crowd‑sourced data, which skews toward individual contributors who have already joined, puts Software Engineer total comp at $271k and Product Manager at $255k, both above the board's median. That discrepancy is normal: Levels.fyi captures realized packages (base + vested equity + bonus) while the board shows the offered cash band for open requisitions.

Equity follows a standard four‑year vest with a one‑year cliff, then monthly thereafter, 25 percent each year, per the Recruiter offer detail on Levels.fyi. The Canadian Recruiter package illustrates the leverage: CA$146k base plus CA$250k in stock yields a median CA$396k total, and the highest reported package hits CA$407k. No annual bonus was reported for that role.

Geography moves the needle. Cresta's headquarters at 100 S Murphy Ave, Suite 300, in Sunnyvale sits in a metro with a cost‑of‑living index of 243.5 — 143 percent above the national average, and one‑bedroom rents run $3,200 to $5,000-plus. The board lists several roles as "United States (Remote)" with the same bands as the hybrid New York and San Francisco postings. The Canadian Recruiter data shows a distinct pay scale denominated in CAD, and Salary.com notes that variances are driven by "organizational scale, specialized skill requirements, or geographic cost‑of‑living factors."

Negotiation room exists. Levels.fyi's negotiators report securing CA$69.5k+ above initial offers for Recruiter candidates, and the site's generic advice (research bands, understand the total package, come with market data) applies across functions. Benefits (health, dental, vision, 401(k) match, PTO) add incremental value but are not the differentiator; the differentiator is the equity upside in a company that has raised over $150M and is chasing a large contact‑center automation market.

Inside the Interview Loop

Cresta runs a structured, role-specific loop that typically spans four to seven rounds depending on seniority and function. Glassdoor aggregates 53 anonymous reviews showing a consistent pattern: an initial recruiter screen, one or two technical assessments, a system-design or domain-deep-dive session, and a final conversation with a hiring manager or executive. The company does not publish its own question bank; OnJob.io explicitly states it provides only general, role-based preparation guides, not leaked Cresta questions, so candidates rely on peer-reported patterns to prepare.

For software engineers, the standard path is four rounds. Round one is a timed online assessment on HackerRank or HackerEarth covering arrays, strings, and hashing. Round two moves to live DSA and problem-solving, usually one to two sessions focused on data structures, algorithms, and complexity analysis. Round three is system design: mid and senior candidates design a scalable service, while early-career applicants tackle low-level design. Round four is the hiring-manager and culture-fit conversation, probing past projects, ownership, and team alignment. A Blind poster in February 2026 confirmed this structure for a Senior Backend SWE role — online assessment passed, recruiter screen next, then onsite with an hour of coding, an hour of system design, and a hiring-manager chat. Another mid-level SWE who received an offer in January 2025 described a similar loop. Staff-level candidates report the same coding and system-design blocks plus the manager conversation.

Backend-heavy roles add a dedicated language-and-runtime deep dive (Java, Node, Python, or Go concurrency models) and a database-and-API-design round covering schema design, indexing, transactions, and REST/gRPC patterns before the system-design session. DevOps candidates face four targeted rounds: Linux and scripting, CI/CD and automation (pipelines, build/release flow, IaC), cloud and containers (AWS/Azure/GCP, Docker, Kubernetes), and a troubleshooting scenario debugging a failing deployment or production incident. Data Analyst loops run four rounds: SQL, Excel/spreadsheet, a case/analytics exercise, and a tool-and-visualization round. Sales and Business Development candidates move through screening for motivation and target comfort, a role-play mock pitch, a behavioural track-record review (past numbers, deals closed, quota attainment), and a manager round on CRM, sales process, and rejection handling. Digital Marketing follows fundamentals, a channel deep-dive, an analytics case, and a strategy-and-culture-fit round.

One distinctive element surfaced in March 2026: a Forward Deployed Engineer (FDE) practical lasting 1.5 hours where AI assistance is explicitly allowed — a "vibe coding" style evaluation that tests real-time problem solving with modern tooling. Candidates on Blind noted they had never encountered a format like it.

Screening criteria align with Cresta's stated operating philosophy. In a 2026 founder interview, the team emphasized they "crossed out stay" from "stay lean" — the bar is leanness, not tenure. They described the self-selecting profile: engineers who initially chased "cool sexy" technical problems like LLM memory optimization, then pivoted toward solving concrete customer problems that drive measurable ROI. "We don't need you stay, just lean," the founder said.

Glassdoor reviewers consistently describe the atmosphere as positive and welcoming. For Cresta specifically, the strongest applications demonstrate the metamorphosis the founders described: a portfolio or narrative showing movement from abstract research to deployed, revenue-linked AI systems.

Where the Work Gets Done

Cresta's physical footprint reflects a company built for distributed AI development with a gravitational center in Silicon Valley. The headquarters sits at that Sunnyvale address — a location that places the core team inside the same corridor where the South Bay office market posted its strongest leasing quarter in over a year, with tenants absorbing 2.7 million square feet across April through June 2026, CBRE reported. That address anchors a 501-to-1,000-person organization whose specialties span AI, machine learning, voice, chat, contact-center automation, real-time coaching, and real-time agent assistance.

Beyond Sunnyvale, Cresta maintains established offices in Palo Alto, San Francisco, New York, Berlin, Toronto, Tokyo, Cluj-Napoca, Melbourne, London, Taipei, and Bucharest. The company's own communications frame these sites as an existing network that two new engineering hubs (Romania and India) will join as R&D scales rapidly. The phrasing "add to existing offices" signals that the European and Canadian locations are already operational, not aspirational. Berlin and Toronto give Cresta time-zone coverage across North America and Europe, while the West Coast cluster (Sunnyvale, Palo Alto, San Francisco) keeps the founding team close to the venture and talent density that funded the company's 2017 start.

The board's live posting data shows how the location strategy translates into hiring. A Head of Demand Generation & Growth Marketing role lists three options: New York (hybrid), San Francisco (hybrid), or United States (remote). Strategic Sales Director roles for East and West coasts are listed as fully remote. A Staff Machine Learning Engineer role is also remote. The pattern is clear: engineering and product roles can sit anywhere in the U.S., while go-to-market leadership clusters around the two coastal hubs with a hybrid expectation. The Director, Enterprise Sales, West role is similarly remote. This distribution matches a product that sells into enterprise contact centers — buyers sit in every major metro, so the sales force does too.

The new Romania and India hubs are explicitly labeled engineering hubs, not sales outposts. That designation aligns with Cresta's core technical challenge: shipping real-time AI models that operate inside live customer conversations. The company's own engineering blog describes the Real-Time Trends system, built by Nikolai Glushnev, Samarth Singhal, Victor Veltan, Sam Wong, and Annie Yan, as a pipeline that detects emerging issues from live conversations before traditional reporting catches them. That class of latency-sensitive, streaming inference work benefits from concentrated engineering teams that can iterate on model serving infrastructure, not just model architecture. Romania and India both offer deep ML engineering talent pools at a different cost structure than the Bay Area, and the time-zone spread creates a follow-the-sun capability for on-call and release cycles.

Sunnyvale's role as HQ also shows up in the company's customer references. Cox Communications, an early Cresta customer, is headquartered in Atlanta but operates nationally; Alaska Airlines flies out of Seattle; Intuit sits in Mountain View, a short drive from Murphy Avenue. Proximity to Intuit and the broader Valley ecosystem matters for partnership engineering and executive alignment. The Mercury News coverage of the 384 Santa Trinita Ave transaction, a 104,500-square-foot building sold for $46 million, roughly 34 percent below its $69.8 million assessed value, illustrates the broader real-estate reset that makes long-term Bay Area leases negotiable for tenants. Bosch Engineering holds that specific building; the market signal applies to Cresta's continued presence in the area.

The hybrid-and-remote model is not a pandemic artifact. Cresta's culture page describes curiosity-fueled rituals (guest speakers, customer spotlights, hackathons, lunch-and-learns) that are designed to work across locations. The intern cohort post from July 2026 notes impact "from shipping product features and solving complex technical challenges to driving marketing initiatives and supporting teams across the business," a scope that implies interns are placed in multiple sites, not just HQ. For a candidate, the takeaway is straightforward: engineering interviews can lead to a remote offer, a Bay Area desk, or a seat in one of the two new hubs; sales and marketing leadership should expect hybrid weeks in New York or San Francisco; and the company's R&D center of gravity is shifting toward a three-region model — West Coast, Eastern Europe, South Asia, with the original HQ staying as the coordination layer.

Who Stays

Cresta's employee reviews paint a consistent picture of the people who stay and advance: they are self-directed operators who treat a flat organization as leverage rather than a limitation, and they ship product-grade AI under shifting priorities without waiting for a manager to define the next step. The company's highest-rated attribute — culture at 4.7 out of 5 on Blind, is described repeatedly as "positive and collaborative" and "great culture, everyone has a strong work ethic" (Blind, 2024-11-25). But the same reviews flag the structure that makes that culture necessary: "Very flat organization, can be tough for career path" (Blind, 2025-06-24) and "Very little career growth. They need you in that position so you are stuck there" (Blind, 2026-05-16). Career growth sits at 4.3 out of 5, the lowest category, yet Glassdoor still shows 4.6 for career opportunities and 95 percent of employees would recommend the company (Glassdoor, 2026). The tension is real: people like the work and the people, but the ladder is short.

That flatness selects for engineers and product people who define scope upward. "Juggling priorities across multiple projects can be challenging" (Blind, 2022-12-07) appears across years, and the 2025-06-24 review adds "Competitive market. At times can be stressful." The people who thrive treat that ambiguity as the job. They are the ones who can take a real-time inference problem for contact-center automation, break it into model-serving, data-pipeline, and latency budgets, and drive it to production without a dedicated program manager. The board's own postings reinforce this: that Staff MLE role listed at $230k–$300k implicitly expects that level of end-to-end ownership.

Sales talent follows a similar pattern. "A lot of opportunity for sales people" (Blind, 2024-11-25) and the board's Director and Strategic Sales Director roles at $320k–$380k signal that quota-carrying reps who can navigate enterprise procurement cycles (often remote, often with minimal hand-holding) do well. The product's Forrester Wave leadership position (Blind, 2025-06-24) gives them a credible story, but the cycle length and stakeholder complexity still demand autonomous pipeline generation.

Remote-first flexibility is another filter. "It is hard to find fully remote work places nowadays" (Blind, 2025-08-22) reads as a retention hook, but it also means the people who stay are comfortable operating across time zones, writing clear async updates, and making architecture decisions in GitHub comments rather than whiteboard sessions. The hybrid roles in New York and San Francisco exist, but the default is distributed.

Management gets a 4.6 on Blind, and reviews cite "strong leadership" (Blind, 2025-06-24). Yet the 2023-01-27 review: "Layoffs due to mismanagement." They could have avoided this, reminding candidates that leadership credibility is earned quarter by quarter. Blind's 2022-02-07 review: "The future is built by extreme talent." "Nothing but growth" captures the self-selection: Cresta hires people who believe the market is theirs to take, and who act like it.

The attrition signal ("Some great people have left for better opportunities in AI" (Blind, 2025-08-22)) is not a warning so much as a calibration. The talent density is high, so the bar for "better opportunity" is high. People who stay are either betting on Cresta's enterprise-AI moat or using the density to accelerate their own craft before the next move. Either way, they treat the flat org, the multi-project load, and the remote default as features they can exploit, not bugs to endure.

The contact-center graveyard is full of tech that worked in demo. Cresta's bet, and its hiring filter, is that the only way out is people who've already shipped the real thing.

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