Engineering Manager / Lead
at Video content platform for talent & game shows -Accel Funded
Java
Python• Popular hosts set up the talent hunts (across genres like comedy, dance, dating & fashion)
• Contestants send in their video entries, and
• Audiences ‘actively consume’ content by playing judge, predicting winners among other
modes of engagement
Expectations from the role:
• Hands-on product building- The engineering lead would need to be hands on with the
product building while mentoring the team
Given that this is pre- PMF, attention to detail and focus on user experience are important
facets of the role.
• Ability to build teams- Ability to build missionary teams would become important as we scale the team to 10 members and beyond.
• Technical leadership- Engineering excellence by building systems that scale well along with the business. Typically comes with experience in having scaled systems in the 1 to 10 phase of another startup/business.
• Strategy- Be a thought partner to the founding team on product strategy while bringing tech innovations to improve the product experience.
Requirements:
• Experience: 6+ years in building consumer tech products (B2C)
• Scale: Should have been part of a scaling journey at another B2C startup/business
• People mentorship: Should have formally or informally led teams of at least 3-4 members
• Startup: Any prior experience in working with or trying to build her/his own startup is a big bonus
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Job Title: Lead Generation Specialist
Location: Baner, Pune
Experience: 2–3 Years
Employment Type: Full-Time | WFO
About the Role:
We are looking for a Lead Generation Specialist with proven experience in identifying, nurturing, and converting qualified leads through outbound channels. The ideal candidate will have hands-on experience in email campaigns, LinkedIn outreach, and cold calling targeting international markets such as DACH, BENELUX, and the UK.
Key Responsibilities:
- Generate qualified B2B leads through cold calls, emails, and LinkedIn campaigns.
- Execute targeted email and LinkedIn outreach campaigns to build a strong sales pipeline.
- Manage follow-ups, schedule meetings, and support client acquisition activities.
- Maintain CRM data and provide weekly reports on lead quality and conversions.
- Collaborate with the sales and marketing team to improve campaign strategies and conversion rates.
- Ensure a minimum of 40 qualified leads per month are generated through outbound efforts.
- Identify new markets, decision-makers, and business opportunities across international regions.
Required Skills & Experience:
- 2–3 years of proven experience in B2B Lead Generation / Inside Sales.
- Strong communication and persuasion skills in English.
- Experience with international lead generation (especially DACH, BENELUX & UK markets).
- Proficiency in using LinkedIn Sales Navigator, CRM tools (HubSpot, Zoho, etc.), and email campaign tools.
- Ability to research, segment, and target the right prospects.
- Self-motivated, goal-oriented, and comfortable working with monthly lead targets.
Machine Learning (ML)
Deep LearningJob Summary
We are looking for a Data Scientist – AI/ML who has hands-on experience in building, training, fine-tuning, and deploying machine learning and deep learning models. The ideal candidate should be comfortable working with real-world datasets, collaborating with cross-functional teams, and communicating insights and solutions to clients.
Experience: Fresher to 5 Years
Location: Ahmedabad
Employment Type: Full-Time
Key Responsibilities
Develop, train, and optimize Machine Learning and Deep Learning models
Perform data cleaning, preprocessing, and feature engineering
Fine-tune ML/DL models to improve accuracy and performance
Deploy models into production using APIs or cloud platforms
Monitor model performance and retrain models as required
Work closely with clients to understand business problems and translate them into AI/ML solutions
Present findings, model outcomes, and recommendations to stakeholders
Collaborate with data engineers, developers, and product teams
Document workflows, models, and deployment processes
Required Skills & Qualifications
Strong understanding of Machine Learning concepts (Supervised, Unsupervised learning)
Hands-on experience with ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, etc.)
Experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)
Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn)
Experience in model deployment using Flask/FastAPI, Docker, or cloud platforms (AWS/GCP/Azure)
Understanding of model fine-tuning and performance optimization
Basic knowledge of SQL and data handling
Good client communication and documentation skills
Good to Have
Experience with NLP, Computer Vision, or Generative AI
Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines)
Experience working on live or client-based AI projects
Kaggle, GitHub, or portfolio showcasing AI/ML projects
Education
Bachelor’s / Master’s degree in Computer Science, Data Science, AI/ML, or related field
Relevant certifications or project experience will be an added advantage
What We Offer
Opportunity to work on real-world AI/ML projects
Mentorship from experienced AI/ML professionals
Career growth in Data Science & Artificial Intelligence
Collaborative and learning-driven work culture
Job Title: Senior KIBO Senior OMS Developer
Location: Bangalore - Onsite
Job Type: Full Time
Experience: 5+ years (Minimum 2+ years in KIBO OMS)
Job Summary:
We are looking for a highly skilled Senior KIBO OMS Developer to design, develop, and maintain order management solutions using the KIBO Order Management System. The ideal candidate should have hands-on experience with KIBO’s Dev Center, strong expertise in order routing configuration, and a deep understanding of KIBO Webhooks, inventory, and order lifecycle management.
Key Responsibilities:
- Design and implement Order Routing Strategies, Scenarios, Filters, After Actions, and manage Custom Data Sets & Lists in KIBO OMS.
- Develop and deploy custom applications on KIBO Dev Center using Node.js, TypeScript, JavaScript, or Java.
- Implement and manage full spectrum of KIBO Webhooks for order lifecycle events.
- Develop and support Order Management functionalities including order creation, cancellation, return, and exchange flows.
- Manage Inventory and Location synchronization, availability rules, and stock reallocation processes.
- Collaborate with cross-functional teams to integrate and consume microservices developed in Java Spring Boot or Node.js.
- Participate in technical design discussions, code reviews, and performance optimization initiatives.
- Ensure scalability, security, and performance of solutions within the KIBO OMS platform.
Required Skills and Qualifications:
- Strong hands-on experience with KIBO Order Management System (OMS).
- Proficient in Order Routing configuration including Strategies, Scenarios, Filters, After Actions, and custom data objects.
- Experience developing and deploying apps in KIBO Dev Center using Node.js / TypeScript / JavaScript / Java.
- In-depth knowledge of KIBO Webhooks and their full event list.
- Experience with Order Management workflows such as Returns, Cancellations, Exchanges.
- Working knowledge of Inventory and Fulfilment Location flows in a distributed order management system.
- Proficiency in microservices architecture, particularly using Java Spring Boot or Node.js.
- Good understanding of REST APIs, event-driven architecture, and third-party system integrations.
Preferred Qualifications:
- KIBO certification (if available)
- Experience in retail/eCommerce domains
- Familiarity with DevOps tools and CI/CD practices
- Knowledge of cloud platforms (AWS, Azure, or GCP)
Soft Skills:
- Strong problem-solving and debugging skills
- Excellent communication and documentation skills
- Ability to work independently and in a collaborative team environment
- Agile/Scrum methodology experience
Soft Skills Trainer — Key Responsibilities
- Assess training needs and identify areas for development.
- Design and develop interactive training materials (presentations, handouts, self-assessments).
- Deliver engaging workshops and training sessions (in-person or virtual).
- Provide one-on-one coaching and constructive feedback.
- Track trainee progress and evaluate program effectiveness.
- Collaborate with stakeholders to align training with organizational goals.
- Stay current with industry trends and adapt training accordingly.
Required Qualifications & Competencies
- Bachelor’s degree in fields like Human Resources, Education, Psychology, or a related discipline.
- Proven experience in training delivery or facilitation.
- Strong communication, public speaking, and presentation skills.
- Excellent interpersonal skills—empathy, active listening, and motivational coaching.
- Organizational strength: adept at planning, time management, and performance tracking.
- Familiarity with instructional design or training methodologies is a plus.
- Tech-savviness, including comfort with presentation tools and learning platforms.
Roles & Responsibilities:
● Design, plan, and execute 3–4 monthly webinars focused on industry trends, customer pain points, and director-level conversations.
● Work cross-functionally with sales, delivery, and marketing teams to build strong narratives and event themes.
● Own all logistics, such as the platform (GoToWebinar, Zoom Webinar, or Zoho Webinar), communication with registrations, reminders, speaker dry-runs, technical rehearsals, and live coordination.
● Develop and manage content assets, including design creatives and presentation decks.
● Drive engagement using polls, Q&As, offers, and post-event follow-ups via email or LinkedIn.
● Track performance and share analytics: registration-to-attendance ratio, audience engagement, quality of leads, and contribution to pipeline.
● Continuously improve based on feedback, benchmarks, and business objectives.
Must have skills:
● 3–5 years of experience managing webinars, virtual events, or enterprise-level workshops. A background in B2B or IT services is a plus.
● Strong coordination, communication, and presentation skills—you'll regularly work with directors, technical experts, and external stakeholders.
● A business mindset—you can connect the dots between webinar topics, lead generation, and customer interest.
● Proficient in tools like Zoom/GoToWebinars, (or CRM/marketing automation platforms), and Google Slides/PowerPoint.
● Comfortable planning, owning timelines, and making real-time decisions during live sessions. Good to have skills:
● Experience in IT services or SaaS domain.
● Experience with Quora/Reddit or guest post partnerships.
● Exposure to content creation or visual storytelling.
Responsibilities
Build relationships with prospective clients
Maintain consistent contact with existing clients
Manage sales pipeline
Analyze the market and establish competitive advantages
Track metrics to ensure targets are hit
Qualifications
Experience in full sales cycle including deal closing Demonstrated sales success
Strong negotiation skills
Strong communication and presentation skills
CRM experience is preferred
Machine Learning (ML)Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
React.js
Redux/Flux
Vue.js
React NativeAbout our organization background: http://sportsit.net/" target="_blank">http://sportsit.net/
SportsIT A London headquartered global technology firm specializing in working with technology firms and IT organizations in the emerging technologies such as Web 2.0, SaaS, Cloud, Open-source, BI/DW, Mobility, Automation, DevOps and Big Data.
We work only on the Sports, Games, Betting and Gambling industry.
Job Description: React.JS Developer role
Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
Thorough understanding of React.js and its core principles.
Experience with popular React.js workflows (such as Flux or Redux)
Familiarity with newer specifications of ECMAScript.
Experience with data structure libraries (e.g., Immutable.js)
Knowledge of isomorphic React is a plus.
Familiarity with RESTful APIs.
Knowledge of modern authorization mechanisms, such as JSON Web Token.
Familiarity with modern front-end build pipelines and tools.
Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
Ability to understand business requirements and translate them into technical requirements.
A knack for benchmarking and optimization.
Familiarity with code versioning tools.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon