Google Analytics- Promoting business on social media for improving brand awareness and generating traffic through social media engagement
- Create and manage link building strategies, content marketing strategies, and social media presences
- Developing content calendars on a weekly and monthly basis for the company
- Use Google Analytics, Google AdWords, and other relevant sites
- Drive traffic to company pages
- Creating engaging social media content
- Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touchpoints
- Developing graphics, video, and collaterals
- Analyzing popular social media platforms and using emerging social media tools to develop relationships with clients
- Demonstrable experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
- In-depth working knowledge of Facebook, Twitter, Instagram, and Google+
- Experience with social media analytics, including Google Analytics and Facebook Insights
- Basic knowledge of Photoshop
- Must have a reach of a minimum of 10K followers on various social media platforms
- Strong working knowledge of marketing terms
- Must be self-motivated and open to learning and sharing new ideas
- Practical experience with social media campaigns
- Highly creative with excellent analytical abilities.
- Outstanding communication and interpersonal skills.
- Up-to-date on the latest trends and technologies in digital marketing.
Shubham Vishwakarma
Full Stack Developer - Averlon
About StarClinch
About
StarClinch is India's Largest Artist Booking Platform. StarClinch helps you book an entertainer/ performance artist for your next event or party! At StarClinch you get a fun-filled and an open cultured workplace. You also get the following perks when you join us -
Medi Claim Insurance
Paid Leaves
Flexible Schedule
Work From Home Flexibilty
Performance Bonuses
Team Parties
Chance to meet Stars!
Company video
Company social profiles
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Job Title : Sales Executive – Web3
Experience : 2 to 5 Years
Job Type : Full-time
Location : Noida (Work From Office)
About the Role :
Drive B2B sales for our Web3 products (wallets, dApps, infrastructure, token/NFT solutions) by hunting new logos and growing key accounts.
Must-Have Skills :
B2B tech sales, Web3/domain knowledge (blockchain, tokens, NFTs, DeFi), strong communication & negotiation, CRM proficiency, lead generation, demo/pitching, target orientation.
Key Responsibilities :
- Prospect, qualify, and close Web3-focused B2B deals (India & international).
- Run the full sales cycle: discovery, demos, proposals, negotiation, contract closure.
- Build a strong pipeline via LinkedIn, events, and partner channels.
- Collaborate with product/marketing to tailor pitches and case studies.
- Track metrics in CRM and hit monthly/quarterly revenue targets.
Requirements :
- 2 to 5 Years in SaaS/tech/Web3 sales (Web3 experience preferred).
- Comfortable explaining blockchain value props to business and tech stakeholders.
- Bachelor’s degree; MBA is a plus.
Nice to Have :
- Network in crypto/Web3 communities and events.
- Prior startup experience.
NodeJS (Node.js)
MongoDB
NextJs (Next.js)
PythonFounding Engineer - LITMAS
About LITMAS
LITMAS is revolutionizing litigation with the first AI-powered platform built specifically for elite litigators. We're transforming how attorneys research, strategize, draft, and win cases by combining comprehensive case repositories with cutting-edge AI validation and workflow automation. We are a team incubated by experienced litigators, building the future of legal technology.
The Opportunity
We're seeking a Founding Engineer to join our core team and shape the technical foundation of LITMAS. This is a rare opportunity to build a category-defining product from the ground up, working directly with the founders to create technology that will transform the US litigation market.
As a founding engineer, you'll have significant ownership over our technical architecture, product decisions, and company culture. Your code will directly impact how thousands of attorneys practice law.
What You'll Do
- Architect and build core platform features using Python, Node.js, Next.js, React, and MongoDB
- Design and implement production-grade LLM systems with advanced tool usage, RAG pipelines, and agent architectures
- Build AI workflows that combine multiple tools for legal research, validation, and document analysis
- Create scalable RAG infrastructure to handle thousands of legal documents with high accuracy
- Implement AI tool chains to provide agents tool inputs
- Design intuitive interfaces that make complex legal workflows simple and powerful
- Own end-to-end features from conception through deployment and iteration
- Establish engineering best practices for AI systems including evaluation, monitoring, and safety
- Collaborate directly with founders on product strategy and technical roadmap
The Ideal Candidate
You're not just an AI engineer, you're someone who understands how to build reliable, production-grade AI systems that users can trust. You've wrestled with RAG accuracy, tool reliability, and LLM hallucinations in production. You know the difference between a demo and a system that handles real-world complexity. You're excited about applying AI to transform how legal professional’s work.
What We're Looking For
Must-Haves
- Deployed production-grade LLM applications with demonstrable experience in:
- Tool usage and function calling
- RAG (Retrieval-Augmented Generation) implementation at scale
- Agent architectures and multi-step reasoning
- Prompt engineering and optimization
- Knowledge of multiple LLM providers (OpenAI, Anthropic, Cohere, open-source models)
- Background in building AI evaluation and monitoring systems
- Experience with document processing and OCR technologies
- 3+ years of production experience with Node.js, Python, Next.js, and React
- Strong MongoDB expertise including schema design and optimization
- Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar)
- Full-stack mindset with ability to own features from database to UI
- Track record of shipping complex web applications at scale
- Deep understanding of LLM limitations, hallucination prevention, and validation techniques
Tech Stack
- Backend: Node.js, Express, MongoDB
- Frontend: Next.js, React, TypeScript, Modern CSS
- AI/ML: LangChain/LlamaIndex, OpenAI/Anthropic APIs, vector databases, custom AI tools
- Additional: Document processing, search infrastructure, real-time collaboration
What We Offer
- Significant equity stake true ownership in the company you're building
- Competitive compensation commensurate with experience
- Direct impact your decisions shape the product and company
- Learning opportunity work with cutting-edge AI and legal technology
- Flexible work remote-first with a global team
- AI resources access to latest models and compute resources
Interview Process
One more thing: Our process includes deep technical interviews and fit conversations. As part of the evaluation, there will be an extensive take-home test that should expect to take at least 4-5 hours depending on your skill level. This allows us to see how you approach real problems similar to what you'll encounter at LITMAS.
Responsibilities
1. Develop detailed knowledge and understanding of business strategy,
objectives, and goals.
2. Work closely with cross-functional teams such as marketing, product, sales, and customer success to execute campaigns.
3. Lead all digital marketing efforts (paid, social & organic). The role entails 3 broad functions:
. Performance Marketing
1. SEO
2. Email marketing
4. Performance Marketing:
0. Establish, implement and measure the effectiveness across SEM/ UAC /Social, etc to drive awareness and adoption for the app and website. Manage the strategy and setup of all paid campaigns.
1. Optimize ads to achieve the lowest cost per lead on the website and
app, without compromising user quality. Closely monitor & optimize
CAC & ROAS.
2. Analyze traffic data, flows, funnels on a detailed city and category level
to identify potential leakages and opportunities to grow.
3. Stay abreast of new tools, trends, and best practices in digital
advertising; test and evaluate their efficacy.
4. Lead efforts to utilize a data and experiments-driven methodology to
improve performance marketing effectiveness.
o Innovate and implement test-and-learn strategies and drive scalable
results.
5. SEO
0. Manage both on-page SEO and off-page SEO for the company.
1. Manage and improve organic search engine performance and goal setting based on click through rates ,traffic ,and conversions.
2. Identify keyword gap for SEO improvement and map new content to be
produced for our blog, YT channel and Pinterest and optimize the same
for SEO.
6. Email marketing:
0. Optimize our marketing automation and lead nurturing processes
through email, content, and social channels.
1. Measure results and optimize the lead nurturing workflow for these
segments to convert leads into customers.
2. Implement Retention & Reactivation based campaigns to improve
lower funnel conversions.
Candidate Requirements
1. A high degree of ownership in taking things to completion. Can thrive in an
unstructured environment.
2. Exceptional communication skills. Enthusiasm to write things down for
posterity, build playbooks, and create training manuals. Loves one pagers.
3. The ability to collaborate effectively across teams such as growth, marketing &
design.
4. Knowledge of UAC, Search and Social advertising preferably for consumer
apps. Experience in a performance marketing role across a range of channels;
search, social, affiliate, display, video.
5. Strong experience in website analytics tools highly proficient with google
analytics, tag manager, search console. Knowledge of using data tools such as
marketing automation CRMs like Cleve tap, attribution reporting, and paid
campaign reports.
6. Strong knowledge of performance optimization and have a strong
quantitative analysis. An understanding of cohorts, segmentation of user base,
calculations of ROl and funnels is a must.
7. Worked at a fast growing start up for at least 3+ years
8. Past experience in B2C traffic generation, managing digital/mobile advertising.
9. Be able to bridge data analysis, research, competitive intelligence to build
efficient and scalable customer acquisition programs.
10. Able to effectively organize, prioritize & manage their time
11. Experience with automations & SQL is a big plus
Location: Bangalore
Function: Software Engineering → Backend Development
We are looking for an extraordinary and dynamic Director of Engineering to be part of its Engineering team in Bangalore. You must have a good record of architecting scalable solutions, hiring and mentoring talented teams and working with product managers to build great products. You must be highly analytical and a good problem solver. You will be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
Responsibilities:
- Own the overall solution design and implementation for backend systems. This includes requirement analysis, scope discussion, design, architecture, implementation, delivery and resolving production issues related to engineering.
- Owner of the technology roadmap of our products from core back end engineering perspective.
- Ability to guide the team in debugging production issues and write best-of- the breed code.
- Drive engineering excellence (defects, productivity through automation, performance of products etc) through clearly defined metrics.
- Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
- Hiring, mentoring, and retaining a very talented team.
Requirements:
- 12 - 20 years of strong experience in product development.
- Strong experience in building data engineering (no SQL DBs, HDFS, Kafka, cassandra, Elasticsearch, Spark etc) intensive backend.
- Excellent track record of designing and delivering System architecture, implementation and deployment of successful solutions in a custome facing role
- Strong in problem solving and analytical skills.
- Ability to influence decision making through data and be metric driven.
- Strong understanding of non-functional requirements like security, test automation etc.
- Fluency in Java, Spring, Hibernate, J2EE, REST Services.
- Ability to hire, mentor and retain best-of-the-breed engineers.
- Exposure to Agile development methodologies.
- Ability to collaborate across teams and strong interpersonal skills.
- SAAS experience a plus.
MongoDBNodeJS (Node.js)Company: Runo – https://runo.in
Location: Hyderabad, India
Who We Are:
Runo is a product based funded company incubated at T-Hub (IIITH Campus) and currently operating from Cyber Towers, HiTec City. We offer Call Management CRM for sales teams across the world. We are currently scaling up the engineering team to support the continued growth of the user acquisition in the global market, after a steady success in the Indian market.
The Role:
Runo is looking for a Lead Backend Developer to join our team. The lead backend developer is responsible for scaling up the existing architecture to handle billions of requests every month (We are currently at a scale of 100 million requests per month). You will be contributing in architecting the database/reporting layer to support complex queries and data exports of millions of records. You will be a lead developer responsible for development of new software products and enhancements to existing products.
Our Ideal candidate:
- Proficiency in NodeJS.
- Expert knowledge of NoSQL Databases (MongoDB is preferred)
- Hands on experience of working on products handling more than a million requests per month
- 4-8 years of relevant professional work experience
- Self-motivated, able to work independently. Commitment to high quality.
Responsibilities:
- Contribute to the product architecture in handling millions of requests per day.
- Optimizing the architecture for regional data zones.
- Develop high performance, reusable & bug free APIs
- Optimize the existing APIs for performance (by data denormalization/ decoupling the long running APIs using queues)
- Get familiar with the AWS Services like API Gateway, Lambdas, SNS, SQS, SES
What We Offer:
- Competitive Salary
- ESOPs
- Medical Insurance
Duties and Responsibilities
- Writing clear and error-free content for a website that reflects the company’s voice
- Meeting with clients to understand their message, brand voice and target audience
- Proposing copy concepts in an engaging way for clients and carrying out projects once they are approved
- Interpreting creative direction and technical information and turning them into persuasive copy concepts
- Collaborating with PR and marketing departments to brainstorm and develop a variety of marketing materials
- Working with clients to edit and modify the copy to meet their content expectations
Skills and Qualifications
- Bachelor’s degree or equivalent experience in communication or marketing
- Experience producing copy for print and digital media channels
- Proven success in producing copy for advertising or marketing campaigns
- Exceptional skill in social media writing, including use of hashtags and relevant acronyms
- Proficiency with common office software
- Experience with SEO concepts and social media marketing
- Creativity, adaptability and the ability to work collaboratively with a team
- 2-3 years of experience in creative copywriting.
Location: Mumbai
Salary: 5-6 LPA
Data Science
Machine Learning (ML)
Deep LearningResponsibilities:
- Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
- Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
- Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
- Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
- Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
- Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
- Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
- Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
- Drive analytics thought leadership and effectively contributes towards transformational initiatives.
- Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
Data SciencePython
R ProgrammingMachine Learning (ML)• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
Machine Learning (ML)Data Science
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon