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

HighRadius is a fintech SaaS company that builds AI-powered software for accounts receivable, order-to-cash, and treasury management. It serves large enterprises globally, and its India offices (primarily in Bhubaneswar and Hyderabad) handle a significant share of product engineering, data science, and customer success work.

As of July 2026, HighRadius has 71 open roles spanning software engineering, data science, product management, and sales. For Indian professionals aiming to work at a product company with genuine AI and fintech depth, HighRadius is a name worth taking seriously.

The process typically runs across four to five stages, though the exact number of rounds varies by role and seniority.

Stage 1: Application and resume screening. You can apply through the HighRadius careers portal or via an internal referral. Referrals are publicly reported to improve shortlisting chances. HR reviews your resume for role-relevant skills before moving you to the next stage.

Stage 2: Online assessment. For engineering and data roles, most candidates report a timed test covering coding (data structures and algorithms), SQL, and sometimes aptitude questions. Non-technical roles may skip this stage entirely.

Stage 3: Technical interview rounds. Expect one or two rounds with senior engineers or team leads. Topics typically include your primary programming language (Java, Python, or JavaScript), problem-solving on a shared coding platform, and for mid-to-senior roles, system design. Interviewers also go deep on your past projects, so be ready to walk through specific decisions you made and why.

Stage 4: Managerial or cross-functional round. This round checks how you think about the business problem, not just the technical solution. For product roles, you may face a case study or product critique exercise.

Stage 5: HR discussion and offer. The final conversation covers compensation expectations, notice period, and career goals. If everything aligns, HR shares a verbal offer, followed by a formal letter within a few days.

HighRadius builds enterprise-grade AI products, so they look for people who combine strong technical fundamentals with practical product thinking.

For software engineers: Solid command of Java, Python, or JavaScript; experience with databases and REST APIs; comfort with cloud environments. Data structures and algorithm skills matter for the screening test, and they matter in interviews too.

For data scientists and AI roles: Strong SQL and Python skills, familiarity with ML frameworks (scikit-learn, PyTorch, or similar), and the ability to translate a business problem into a working model or analysis.

For product managers: Understanding of SaaS metrics, the ability to write clear product requirements, and ideally some exposure to finance or accounting workflows.

Across all roles: Interviewers commonly look for clear communication, the ability to explain your past work in structured terms, and genuine curiosity about fintech. If you have worked on any invoicing, order-to-cash, or treasury-related problems before, bring those up early. Domain familiarity stands out in a field where most candidates are pure technologists.

Start with the product. Spend an hour on the HighRadius website going through their product walkthroughs for accounts receivable automation and treasury management. Knowing what the product does helps you connect your skills to real problems the company faces, and interviewers notice when candidates have done this homework.

Practice coding on a timed platform. The online assessment covers standard data structures (arrays, trees, graphs) and algorithm problems at medium difficulty. SQL questions covering joins, window functions, and aggregations are also common. Practice these regularly before your assessment date rather than cramming the night before.

Prepare project deep-dives. In technical and product interviews, you will almost certainly be asked to walk through a past project in detail. Structure your answer around the problem, your approach, the trade-offs you made, and the measurable outcome. Vague answers like 'I worked on a team that built X' do not land well here.

Research compensation before the HR round. Glassdoor and levels.fyi carry self-reported salary data from HighRadius employees in India. Review these before the offer conversation so you walk in with a well-informed number rather than guessing on the spot.

Get a referral if you can. If you know someone at HighRadius, ask for an internal referral before applying. Publicly reported data from multiple companies consistently shows referred candidates get screened faster than cold applicants.

If you want to track all 71 current HighRadius openings without checking multiple portals manually, knok scans 150+ job sites every night, applies to roles that match your resume, and messages HR on your behalf.

HighRadius describes its culture as fast-paced and product-focused, with a strong emphasis on ownership and measurable outcomes. The Bhubaneswar office has a campus-like setup and is one of the company's largest engineering hubs in India, which gives it a distinct energy compared to a typical services company.

Employees in publicly reported Glassdoor reviews often highlight the opportunity to work on real AI products serving large enterprise clients as a key motivator. Seeing your work deployed inside major global corporations is something many HighRadius employees mention as a genuine draw, especially for engineers early in their careers.

The flip side, also noted in industry surveys and public reviews, is that the pace can be demanding, especially for customer-facing roles tied to client delivery timelines. Growth within the company tends to reward people who take initiative and drive visible results rather than those who wait for direction.

For freshers and early-career professionals, HighRadius is commonly cited as a strong launchpad into the fintech product space, given the breadth of exposure to AI, automation, and enterprise software at scale.