95% of Fortune 100 use MURAL, now hiring nine AI roles

The Surge in Context

MURAL, the AI‑powered visual workspace operated by Tactivos, Inc., has posted nine open positions across engineering, design, and product — signaling a concentrated push to scale AI‑driven visual teamwork tools. The openings span senior product management, lead product design, solutions engineering, staff‑level AI backend engineering, and corporate marketing. Salary bands cluster between $103 k and $221 k (median $175 k), with the Staff Backend Engineer, AI Systems role priced in GBP (£110 k–£138 k) and the Senior Solutions Engineer, DACH role in EUR (€112 k–€140 k), reflecting a deliberately global, remote‑first footprint.

These openings map directly to the product's inflection point. Two Senior Product Manager seats — Growth & Engagement and Customer Insights, signal a push to instrument and accelerate adoption across the 95 % of Fortune 100 companies already on the platform (Mural reported). A Lead Product Designer, Growth (Upper Funnel) based in Canada points to renewed focus on the top‑of‑funnel experience. The Staff Backend Engineer, AI Systems role, listed as U.S. remote, aligns with MURAL's "Mural AI" layer — which structures working sessions, generates templates, and eliminates busy work. Meanwhile, the Senior Solutions Engineer for the DACH region and the Corporate Marketing Manager round out a go‑to‑market motion built on Microsoft 365 Copilot integration and enterprise‑grade security.

MURAL's own figures claim 50 % faster sales onboarding (according to Mural), 1.5 days per week returned to sales teams, and 800 hours of meeting time saved annually per customer. The platform's "virtually flat" learning curve — users report training colleagues in ten minutes, has made it a default in enterprises that need visual collaboration to scale without IT friction. But the next growth phase requires the platform to do more than host sticky notes; it must anticipate the next step in a workshop, synthesize divergent ideas into coherent frameworks, and plug seamlessly into the Microsoft ecosystem that dominates enterprise procurement.

Every open seat sits at the intersection of technical depth and collaborative storytelling. MURAL isn't hiring pure researchers or pure designers. It's hiring engineers who understand facilitation, product managers who can translate AI capabilities into workshop outcomes, and designers who think in systems, not screens. That hybrid profile is the strategic context.

The Competency Clusters

MURAL's open roles reveal a hiring profile that blends deep technical fluency with the ability to design for collective intelligence. Each position points to a distinct cluster the platform now requires.

At the engineering layer, the role signals where the heaviest technical investment sits. MURAL's AI features run on Microsoft Azure OpenAI, powering idea clustering, mind‑map generation, and template automation the company says saves teams hundreds of hours weekly. The same engineering team operates a Kubernetes‑based infrastructure the company re‑platformed in 2020; "speed is a feature," MURAL's CEO said in a 2020 interview, and the visual engine's latency still defines the user experience. Full‑stack contributors must also own the integration surface: Jira, Microsoft Teams, and the Microsoft 365 Copilot plugin are live, with more connectors on the roadmap.

Product management openings — Senior Product Manager, Growth & Engagement and Senior Product Manager, Customer Insights, demand fluency in both quantitative experimentation and the qualitative rituals of facilitated workshops. MURAL's product team builds for R&D retrospectives, marketing brainstorms, sales presentations, and consulting engagements, each with distinct template libraries and facilitation tooling (private mode, voting, timer, laser pointer).

Design talent maps to the role. The brief extends beyond pixel fidelity: MURAL's canvas must serve first‑time users who arrive via Copilot search and seasoned facilitators who run weekly agile ceremonies. Accessibility is a declared priority — the company formed a dedicated accessibility team in 2020, and in‑product learning surfaces replace traditional onboarding flows. Designers prototype the "facilitation superpowers" the CEO described in a 2020 interview: content libraries, private mode, and improvisation aids that let a workshop lead pivot mid‑session.

The role exposes the enterprise‑facing competency: configuring single sign‑on, audit logs, e‑discovery, and encryption to meet SOC 2 Type 2, ISO 27001, GDPR, and CCPA requirements.

Underpinning every role is collaboration facilitation itself. A PowerToFly interview video confirms case‑study exercises for designers and technical interviews for engineers. The platform's growth from 100 to 250 employees in months (per the 2020 interview) and its current push toward 300‑plus headcount mean new hires join a culture that treats meeting design as a first‑class engineering problem.

What Gets You Past the Screen

The role mix, the product's portfolio‑centric positioning, and broader hiring patterns at visual‑collaboration peers let us reconstruct what candidates should expect at each gate.

Portfolio review as the first filter

MURAL's product is explicitly marketed as "the easiest way to share the right work with the right people" and "makes it easy for anyone to create beautiful and dynamic professional portfolios in minutes." That positioning turns the portfolio review into a de facto product test. MURAL's "story" feature lets users attach narrative context to any board, a format that mirrors the product narratives candidates may be asked to produce.

Case‑study exercise: AI‑augmented workflow design

The case study typically arrives after a recruiter screen. For product and design tracks, the prompt centers on AI‑powered features MURAL has already teased publicly: automatic sticky‑note clustering, generative mind maps, sentiment summarization, or template generation from unstructured notes. Engineering candidates get a narrower slice: design the data model and API contract for "cluster sticky notes by topic" with sub‑second latency at concurrent editors, then outline the evaluation harness for clustering quality. The common thread — confirmed by recruiters who place talent at Miro, Figma, and Notion, is that the solution must demonstrate collaborative UX thinking, not just algorithmic cleverness.

Behavioral interview: evidence of cross‑functional translation

The final loop pairs the candidate with a future peer, a hiring manager, and a cross‑functional partner. Questions follow a consistent pattern: "Walk me through a time you translated a vague business ask into a shipped AI feature — what did you prototype, what did you kill, how did you measure adoption?" and "Describe a disagreement with a designer, researcher, or engineer about visual hierarchy in a shared workspace — how did you resolve it?" The scoring rubric weights three signals: fluency in both technical constraints and facilitation language; documented iteration — screenshots, commit logs, or MURAL boards showing at least three distinct design directions; quantified impact, onboarding time reduced, template adoption rate, meeting hours saved.

What separates the shortlist

Across all nine roles, the differentiating factor is demonstrated hybridity. A Staff Backend Engineer who can sketch a facilitation flow in MURAL during the interview. A Product Manager who pushes a branch to staging to test an AI summary endpoint. A Designer who writes a SQL query to segment power users of the mind‑map feature. Candidates who treat the interview as a portfolio showcase rather than a working session tend to stall at the case study. The ones who advance treat the MURAL board they're handed as a shared workspace they're expected to improve before the call ends.

How the Category Is Hiring

MURAL's hiring wave does not sit in isolation. The visual‑collaboration category has consolidated around three pure‑play platforms, Miro, Figma, and Notion, each now racing to embed generative AI into the canvas while meeting providers such as Zoom, Microsoft Teams, and Cisco Webex bolt whiteboarding onto their core suites. That competitive pressure shows up directly in hiring patterns: every competitor is chasing the same hybrid profile that blends deep technical execution with the ability to design, facilitate, and narrate collaborative workflows.

Miro, the category's funding leader, makes the clearest case study. After a $400 million Series C at a $17.5 billion valuation in January 2022, CEO Andrey Khusid told TechCrunch the company needed to "make sure all of our people are in place in all functions from customer support to product engineering" and described the scaling challenge as "building a plane while flying." Since then Miro has acquired the video‑conferencing startup Around (October 2022) and the Danish generative‑UI company Uizard (June 2024) to accelerate its "AI Sidekicks", template‑embedded agents that draft documents, diagrams, and summaries from canvas content. The platform now serves over 90 million users across 250,000 organizations as of 2025, and Khusid has publicly framed the next phase as a shift from "visual collaboration platform" to "innovation workspace" targeting fragmented workflows across enterprise verticals. That strategic pivot implies sustained demand for product engineers who can ship AI‑native features, solutions architects fluent in enterprise change management, and designers who can translate complex processes into template‑driven experiences, exactly the hybrid archetype MURAL's postings describe.

Figma's hiring velocity tells a parallel story. Zero G Talent's board shows 12 new roles posted in the past seven days alone, heavily weighted toward core engineering: Software Engineer – Application Platform, Software Engineer – Traffic, Software Engineer – Mobile Web, plus Manager and Director slots in Data Platform and Data Science. Salary bands range from $115,000 to $376,000 (Zero G Talent's board data shows) with a median of $303,000 (Zero G Talent's board data shows), substantially above MURAL's band. The role mix reflects FigJam's positioning as a "collaborative canvas for design, code, and AI" where AI features sort and summarize sticky notes, generate templates and design mockups, rewrite text, and turn mockups into interactive prototypes. Figma's hiring skew toward platform and data engineering signals a bet that the next differentiation layer is infrastructure: real‑time multiplayer performance, plugin extensibility, and the data pipelines that feed model training, capabilities that also appear in MURAL's requisition.

Notion occupies a different vector. Its public messaging centers on "Custom Agents" that let teams "build AI tools that do the work for them," moving beyond canvas collaboration into workflow automation. While granular hiring data for Notion isn't public, the product direction aligns with the same talent profile: engineers who can ship agent runtimes, designers who can make agent configuration feel like visual authoring, and product managers who can price and package AI compute alongside seats.

The table highlights two industry‑wide trends. First, compensation stratification: Figma's engineering‑heavy roles command a premium MURAL's broader but shallower band does not yet match, suggesting MURAL may face talent attrition risk if it cannot close the gap for senior AI/ML engineers. Second, role diversification: all four companies are hiring across product, design, and engineering simultaneously rather than sequencing them, because AI features now require tight co‑design from day one, a model that rewards candidates who can speak fluent Python, Figma/Sketch, and facilitation in the same interview loop.

Analysts tracking the category note that pure‑play vendors are responding to meeting‑suite encroachment by deepening vertical specialization. iObeya has added manufacturing‑focused visual management; Lucid Software has built developer‑specific diagramming. Miro's Uizard acquisition and MURAL's AI Systems hire point to a similar bet: the next moat is not the canvas itself but the domain‑specific intelligence layered on top.

The hiring data converges on a single insight: the visual‑collaboration category has stopped hiring for "front‑end engineer" or "UX designer" as discrete lanes. Every open role now expects the applicant to prototype an LLM‑backed feature, run a user session that validates the interaction, and write the spec that ships it. MURAL's nine roles are a local manifestation of a category‑wide rewrite of the job description.

Candidate Strategies and Recruiter Insights

The hybrid profile MURAL describes, AI/ML fluency paired with visual‑storytelling craft, appears in both companies' listings. Figma's Director, Data Science role asks for deep expertise in ML systems alongside product intuition, while MURAL's seat requires production‑grade LLM experience and collaboration with design partners. Candidates who previously siloed their ML engineering portfolio from their design‑system work are now merging them into single case studies: a retrieval‑augmented generation prototype that also demonstrates component‑library thinking, or a real‑time co‑editing demo that surfaces latency metrics designers can act on.

MURAL's own Senior PM listings emphasize "growth experimentation" and "customer insights," suggesting the company wants product leaders who can instrument AI‑driven templates and measure whether teams actually use them.

Salary transparency is also changing candidate behavior. With MURAL's bands published at £110k–£138k GBP for the Staff AI role and €112k–€140k EUR for the DACH Solutions Engineer, applicants are benchmarking against Figma's $153k–$376k USD engineering ranges and adjusting geographic expectations. Remote‑first listings from both companies mean a candidate in Berlin can interview for the DACH role while comparing it to Figma's San Francisco–anchored bands, creating pressure on MURAL to justify its narrower spreads or lean harder on equity and mission narrative.

The board numbers show a market where two well‑funded competitors are fishing in the same talent pool at the same time. That dynamic typically accelerates two trends: candidates assemble "dual‑track" portfolios that satisfy both an ML engineering review and a design critique, and recruiters widen their sourcing filters to include engineers who have shipped design‑tool plugins or designers who have contributed to open‑source ML pipelines. Whether MURAL's nine‑role wave converts into hires faster than Figma's dozen will depend less on brand and more on which interview loops can evaluate the hybrid profile without adding months to the process.

Where the Roadmap Lives

The six roles MURAL currently lists, Staff Backend Engineer, AI Systems; two Senior Product Managers (Growth & Engagement, Customer Insights); Lead Product Designer, Growth (Upper Funnel); Senior Solutions Engineer, DACH; and Corporate Marketing Manager, form a coherent signal about where the product is headed. The AI Systems backend role, priced at £110,416–138,020 GBP/year, is the clearest indicator: MURAL is investing in the infrastructure to run machine‑learning models at scale inside the visual workspace.

The two product‑manager openings reinforce that direction. Growth & Engagement typically owns activation, retention, and expansion loops, metrics that improve when AI reduces the blank‑canvas problem. Customer Insights usually builds the instrumentation and feedback pipelines that tell the team which AI outputs users actually accept, reject, or rework. Together they imply a product cycle where generated templates, suggested sticky‑note clusters, and auto‑summarized boards are measured, iterated, and shipped continuously rather than launched as one‑off experiments.

Design and go‑to‑market roles complete the picture. The role, based in Canada at CAD 169,435–211,794/year, signals that the first‑touch experience, likely the template gallery, onboarding flow, and AI‑assisted board creation, is getting dedicated design leadership. The Senior Solutions Engineer for DACH (€112,500–140,625 EUR/year) points to enterprise expansion in German‑speaking Europe, where compliance, data residency, and white‑glove onboarding matter. The Corporate Marketing Manager (USD 107,978–134,973/year) suggests MURAL plans to amplify the narrative around these capabilities to buyers who evaluate visual‑collaboration tools on AI credibility as much as on sticky‑note fidelity.

Compared with Figma's 12 roles added in the past seven days, heavy on data‑platform engineering and mobile‑web performance, MURAL's slate is narrower but more explicitly AI‑centered. Figma's role ($290k–376k) and Manager, Software Engineering, Data Platform ($258k–376k) show a parallel investment in the data layer that powers AI features, but MURAL's sole AI‑titled engineering role indicates a more concentrated bet on generative capabilities within the board itself.

No public roadmap announcements, dated feature flags, or executive commentary on specific launch windows for AI‑generated templates or real‑time co‑creation enhancements are available. What the hiring data supports is a structural inference: the org chart being built right now is the one that ships those features. Candidates who join the AI Systems backend team will own the model‑serving stack; the growth PMs will define the success metrics; the designer will shape the entry points; the solutions engineer will translate them for regulated EU accounts; the marketing manager will frame them for the market. The roadmap lives in those requisitions, and the first hire to walk through the door will start writing it on a MURAL board.

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