How to Get a Job at Skai: Interview Process, Experience & Tips (2026)

Skai (formerly Kenshoo) is a global digital marketing and retail media intelligence platform. Brands and agencies use Skai to manage and optimize advertising across paid search, social, and retail media channels. The company sits at the intersection of ad tech and data analytics, which shapes who they hire and what they value in candidates.

As of mid-2026, Skai has around 20 open roles, spanning engineering, product management, sales, customer success, and marketing. Competition for these positions is real but manageable if you prepare well and show genuine interest in the ad tech space. Most hiring follows a structured, multi-stage process that moves at a steady pace.

Skai's hiring process typically runs through five to six stages. Specific timelines vary by role and team, so treat this as a general guide rather than a fixed schedule.

Stage 1: Application and Resume Screen
The talent acquisition team reviews your resume first. A strong match on skills, relevant ad tech or SaaS experience, and clear impact statements improves your chances of moving forward. Tailoring your resume to the job description matters at this stage.

Stage 2: Recruiter Screening Call
If your profile clears the initial screen, a recruiter will reach out for a brief introductory call. Expect questions about your background, why you want to join Skai, and your compensation expectations. This is also your chance to ask about the role and team structure.

Stage 3: Hiring Manager Interview
The next conversation is typically with the person you would report to. This round goes deeper into your work history, how you handled specific situations, and your understanding of the domain. For technical roles, some light technical discussion may happen here as well.

Stage 4: Technical or Skills Assessment
For engineering roles, candidates commonly report a coding round or system design discussion. For product, marketing, or sales roles, this stage often takes the form of a case study or take-home exercise tied to real business scenarios Skai deals with.

Stage 5: Panel or Final Round
Shortlisted candidates meet multiple stakeholders, which may include team leads, cross-functional partners, or senior leadership. Expect a mix of behavioral questions and role-specific scenarios. This round also serves as a culture-fit check.

Stage 6: Offer and Reference Check
If all rounds go well, the recruiter will share an offer. Reference checks may happen before or after the verbal offer depending on the team.

Skai looks for people who are comfortable operating in a fast-moving, data-heavy environment. Here is what comes up consistently across roles:

Domain understanding. Candidates who can speak to digital advertising, retail media, or marketing analytics have a clear edge. You do not need to be an expert in every channel, but you should understand how paid media works and why measurement matters.

Analytical thinking. Whether you are in engineering, product, or sales, Skai expects you to back decisions with data. Being able to pull insight from numbers and translate it into clear action is valued across all departments.

Customer and outcome focus. Skai's clients are enterprise brands and agencies. Roles that touch the client side expect strong relationship skills and a genuine interest in helping customers succeed, not just closing deals or shipping features.

Collaboration and communication. The company operates across multiple time zones and functions. Candidates who can work across teams and communicate clearly, especially in writing, tend to do well.

Curiosity about ad tech. The space is evolving fast, with retail media, AI-driven bidding, and signal loss all reshaping how advertisers work. Showing that you follow these trends and have opinions about them signals genuine interest.

Research Skai's products before every round. Spend time on their website and any publicly available case studies. Understand what makes their platform different from generic ad management tools. Be ready to discuss how their products solve real advertiser problems.

Prepare STAR-format answers for behavioral questions. Situation, Task, Action, Result. Skai interviewers commonly ask how you handled ambiguity, managed stakeholders, or drove results under pressure. Have three to four strong stories ready that you can adapt to different questions.

Brush up on digital marketing fundamentals. Even for non-marketing roles, knowing terms like ROAS, impression share, CPC, and attribution helps. For product or engineering roles, understanding how ad serving and measurement work is a plus.

For engineering roles, practice system design and coding. Candidates report questions involving data pipelines, API integrations, and scalable system design, consistent with what a SaaS ad tech company typically needs. LeetCode-style problems also come up, so stay sharp on algorithms and data structures.

Prepare smart questions for each interviewer. Ask about team challenges, what success looks like in the first few months, and how the team makes decisions. This shows genuine interest and helps you evaluate the role too.

Follow up after each round. A short thank-you note to the recruiter after each stage keeps you on their radar and reinforces your interest.

Skai has built a culture oriented around data, customer success, and continuous learning. The company has gone through its own transformation, moving from a pure paid search tool to a broader retail media and intelligence platform, and that growth mindset shows up in how they operate.

Data-driven by default. Decisions at Skai tend to be backed by evidence. Teams are expected to measure what they do, learn from results, and iterate. If you prefer working from gut instinct alone, the culture may feel challenging.

Customer obsession. Skai's clients are sophisticated enterprise advertisers. Internal teams, including product and engineering, stay close to customer needs. Customer feedback loops into product decisions regularly.

Collaborative, not siloed. Multiple functions work closely together on shared outcomes. Sales works with customer success, product works with engineering, and so on. Candidates who prefer working in isolation may find the collaborative pace an adjustment.

Global but grounded. Skai has offices and employees across regions. If you are joining from India, you may work with counterparts in Israel, the US, or Europe. Clear written communication matters a lot in this setup.

Growth and learning. The ad tech industry changes quickly. Skai expects employees to stay current, whether through internal training, following industry news, or experimenting with new approaches. A growth mindset is not just a buzzword here, it is a practical requirement.