11+ Final Cut Pro X Jobs in Bangalore (Bengaluru) | Final Cut Pro X Job openings in Bangalore (Bengaluru)

Wedding Video Editor (0-2 Years Experience)

Location: Bangalore (On-site)

Company: Thywed Stories

About Us:

Thywed Stories is a premium wedding photography and cinematography company that believes every wedding is a story waiting to be told. We craft cinematic films that capture emotions, culture, and timeless memories.

Job Description:

We're looking for a Wedding Video Editor with a passion for storytelling and a strong sense of music. The ideal candidate understands wedding films, visual flow, and can translate emotions into beautifully edited videos.

Responsibilities:

Edit wedding teasers, highlights, and full-length films with cinematic storytelling.

Understand wedding photography and film flow to maintain consistent visual style.

Choose and sync music effectively strong music sense across languages is a must.

Collaborate with cinematographers and creative directors on project timelines and aesthetics.

Assist the team on ground during wedding shoots for setup, footage management, and coordination.

Organize and manage raw footage efficiently for post-production.

Requirements:

0-2 years of experience in video editing.

Strong understanding of wedding films, storytelling, and photography aesthetics.

Proficiency in Adobe Premiere Pro, After Effects, or DaVinci Resolve.

Good sense of pacing, emotion, and soundtrack selection.

Willingness to travel and assist during wedding shoots.

What We Offer:

Exposure to premium and destination weddings.

Creative, growth-oriented work environment.

Mentorship from experienced cinematographers and editors.

Location: Bangalore (Work from Office)

Read jd before applying

Strong B2B SaaS Product Manager / Fintech Product Manager / Revenue Platform Product Manager profiles

2 days WFO only.

Mandatory (Domain) – Candidate must have worked in Billing, Fintech, Subscription Management, Revenue Management, Payments, SaaS Monetization, ERP Financial Systems, or Order-to-Cash platforms.

Strong B2B SaaS Product Manager / Fintech Product Manager / Revenue Platform Product Manager profiles

Mandatory (Experience 1) - Must have minimum 3+ years of Product Management experience in a B2B SaaS or technology product company.

Mandatory (Experience 2) - Candidate should be working as a Product Manager / Senior Product Manager in their current or most recent role.

Mandatory (Experience 3) - Must have direct experience owning Order-to-Cash (O2C) products, workflows, or platforms, including one or more of the following: Billing & Invoicing, Subscription Management, Revenue Recognition, Accounts Receivable, etc

Mandatory (Experience 4) – Must have experience owning products end-to-end including customer discovery, problem definition, roadmap planning, PRD creation, engineering collaboration, product launches, metrics tracking, and post-launch iterations.

Mandatory (Experience 5) – Must have experience engaging directly with customers, gathering requirements, validating product ideas, and translating customer feedback into scalable product solutions.

Mandatory (Experience 6) – Must have strong analytical and data-driven decision-making skills with experience defining product KPIs, measuring business impact, and prioritizing roadmap initiatives.

∙Primary Skills: Life Insurance and Annuity domain knowledge 

∙Secondary Skills: Functional testing knowledge, Functional test design. Insurance domain 

knowledge 

∙Analyze life insurance processes and translate them into functional specifications. Act as a 

liaison between business users and technical teams to ensure alignment. Conduct gap analysis, 

impact assessments, and support solution design. Participate in system testing, UAT support, and 

user training. 

∙Policy Administration: Develop and implement policies to ensure efficient and effective 

management of life insurance and annuity products. 

∙Claims Handling: Collaborate with clients to resolve claims in a timely and fair manner. 

∙Agent Compensation: Work with agents to establish compensation structures that incentivize 

sales and customer satisfaction. 

∙Consulting Engagements: Partner with clients on various consulting projects, providing expertise 

and guidance on life insurance administration. 

∙Application Enhancement Requirements: Define and prioritize requirements for application 

enhancements to improve the overall user experience. 

∙Automation: Explore opportunities for automation to streamline processes and increase 

efficiency. 

∙Training and Mentoring: Provide training and support to less experienced team members to 

ensure knowledge sharing and skill development. 

∙Automation frameworks and reporting tools.  

∙Writing, executing, monitoring and maintenance of automated test suites. 

∙CI/CD tools knowledge and Agile process 

∙Database- MySQL, Oracle 

Your Responsibilities:

• Own the backend stack – Node.Js based, that powers our product
• Collaborate with Backend Developers (Python), Front-end developers, DevOps, and Data Scientists to design and implement new features
• Build and maintain several REST’ful Services/Endpoints which will be used both internally and externally in a Macroservices/Distributed services environment.
• Deploy and monitor the Services/Endpoints ensuring availability and scalability(ability to handle 100X traffic)
• Work on full project lifecycle starting from requirements gathering/understanding the problem to deploying and maintaining the project.

Skills that you bring Along:

• A minimum 8+ years of extensive work experience with Node.Js and related frameworks – particularly Express.Js.
• Extensive experience in designing and maintaining REST’ful API endpoints
• Extensive experience with databases such as Postgres and Mongo.
• Extensive experience in Cloud Infrastructure (AWS based) – e.g. AWS API Gateway, Lambda Functions etc.
• Experience with cache like Redis and/or Memory cache
• Good experience in Microservices/Macroservices or Event driven Architectures
• Good experience with design patterns
• Experience in writing advanced SQL-queries, good knowledge of PL/SQL
• Good understanding of Software Design Principles and domain-driven design
• Good experience with Continuous Delivery and Containerization(Docker)
• Ideally maintaining infrastructure-as-code using Terraform
• Excellent communication skills and the ability to explain complex topics in a simple manner

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.