How to Get Hired at synthesia

Synthesia is an AI video generation platform that helps businesses create professional videos using AI avatars and text-to-speech in many languages. The company is headquartered in London and is one of the more recognized names in the AI-generated content space. As of July 2026, Synthesia has 78 open roles spanning engineering, product, design, sales, marketing, and customer success teams.

For Indian professionals aiming to join a fast-growing AI company with global reach, Synthesia is worth a close look. Most roles are remote-friendly or based in London and New York, though the company does hire globally for select positions. Engineering and AI/ML roles make up a significant share of the current 78 openings, alongside sales and customer-facing positions. If your background is in machine learning, software engineering, or B2B sales, you will likely find relevant listings when you check their careers page.

Synthesia's hiring process typically runs across four to five stages, though the exact steps vary by role and team. Here is what candidates commonly report:

Stage 1: Application and screening. After you apply, a recruiter reviews your resume. If your profile is a match, expect a short email or message within a couple of weeks. Roles in engineering and AI tend to move faster when the pipeline is active.

Stage 2: Recruiter call. A short introductory conversation with someone from the talent team. They will ask about your background, why you want to join Synthesia, and your salary expectations. This is also your chance to ask about the role, team structure, and remote setup.

Stage 3: Technical or skills assessment. For engineering roles, this is usually a take-home coding task or an online challenge. Product and design candidates may be asked to complete a case study. Sales candidates often do a mock pitch or discovery call exercise. Expect this stage to take a few hours of your time.

Stage 4: Panel interviews. If you pass the assessment, you move into one or two rounds with the hiring manager and team members. For engineering, expect system design questions and a deeper dive into past projects. For non-technical roles, expect behavioural questions using the STAR format (Situation, Task, Action, Result).

Stage 5: Final or leadership round. Senior roles often include a conversation with a director or VP. This round focuses on how you think at scale, how you handle ambiguity, and your longer-term goals.

After a successful final round, the recruiter reaches out with a written offer. Compensation packages reportedly include base salary, equity, and benefits, with specifics varying by location and seniority. Glassdoor and levels.fyi carry community-submitted data for comparable AI-sector roles if you want a benchmark before negotiating.

Synthesia looks for people who are genuinely curious about AI and comfortable working in a fast-changing environment. A few qualities come up consistently across their job descriptions and public team interviews:

Technical depth. For engineering and ML roles, Synthesia expects strong fundamentals. Python, deep learning frameworks, and experience with video or audio processing are commonly listed requirements. They build complex AI systems, so a surface-level understanding of machine learning is not enough.

Product thinking. Even engineers are expected to understand the user problem they are solving. Candidates who can speak about impact and not just implementation tend to stand out.

Clear communication. Synthesia is a distributed team working across time zones. Strong written and verbal communication matters, especially for remote candidates.

Ownership mindset. The company is in a high-growth phase as of 2026, and they want people who take initiative rather than waiting to be told what to do.

Domain knowledge. For sales and marketing roles, prior experience in B2B SaaS is valued. For AI roles, familiarity with generative models, video synthesis, or related research is a strong plus.

Use the product first. Sign up for Synthesia and create a short AI video before your interview. Knowing the product from a user's perspective sharpens your answers and shows genuine interest. Interviewers notice when candidates have actually used what they are building.

Study their public content. Synthesia publishes blog posts, case studies, and demos. Reading these gives you a sense of the use cases they are winning, the customers they serve, and what the team cares about.

Prepare STAR stories. For behavioural rounds, map your past experience to the traits they value: ownership, speed, and collaboration under ambiguity. Practice two or three strong examples that you can adapt to different questions.

Brush up on AI video concepts. Even for non-technical roles, understanding what text-to-video generation means, how avatar technology works, and what sets Synthesia apart from competitors will help you speak confidently in interviews.

Research the competitive landscape. Synthesia operates in a competitive space. Being able to name a few competitors and articulate why Synthesia has a stronger position (or where the gaps are) shows business acumen that interviewers appreciate.

Prepare good questions. Interviewers at growth-stage companies often judge candidates by the quality of their questions. Ask about team roadmap, how success is measured in your role, and how the product is evolving through 2026 and into 2027.

Synthesia describes itself as a mission-driven company working to make video communication more accessible. A few cultural patterns are consistently visible in how the team talks about their work publicly:

Speed over perfection. The team ships quickly and iterates. If you prefer exhaustive planning before execution, the pace may take some getting used to.

Transparency. Leadership shares context on company direction openly. Employees are expected to ask questions and surface concerns rather than quietly disagree.

Inclusion and diversity. Synthesia has publicly committed to building diverse teams, and their hiring panels often include people from different backgrounds and geographies. Indian candidates are not at a disadvantage in this environment.

Remote-first thinking. Much of the collaboration happens asynchronously. Good documentation, proactive communication, and staying visible without being in the same room all matter more than they might in a traditional office setup.