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Convosight logo
AI Product Manager
Convosight
AI Product Manager
Hashone Careers's logo

AI Product Manager

at Convosight

Agency job
5 - 12 yrs
₹20L - ₹70L / yr
Remote only
Skills
Product Management
Artificial Intelligence (AI)
Product Strategy
Large Language Models (LLM)
Generative AI

What We're Looking For


MUST-HAVE

• Proven track record shipping AI/ML products — LLMs, agentic systems, NLP, or vision

• Deep understanding of transformers, embeddings, fine-tuning, and RAG — not surface-level

• GTM experience: positioning, pricing, channel strategy, and adoption metrics

• Working knowledge of at least one programming language (Python preferred)

• Ability to turn ambiguous problems into product decisions quickly


GOOD TO HAVE

• Hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

• Background in consumer research, CPG/FMCG, or social analytics

• Experience in a zero-to-one or founding team environment

• Engineering or technical degree from a Tier 1 institution

Why Join

• Work with a CPTO who codes — no layers between your ideas and engineering

• Real clients, real scale — your product drives billion-dollar decisions at Unilever, P&G;

• Category-defining space — no dominant player in video-native consumer intelligence yet

• Small team (~132 people), startup pace, enterprise credibility

• Ownership and impact from Day 1

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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𝘑𝘰𝘣 𝘛𝘪𝘵𝘭𝘦: 𝘉𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘈𝘴𝘴𝘰𝘤𝘪𝘢𝘵𝘦 (𝘉𝘋𝘈)

𝘓𝘰𝘤𝘢𝘵𝘪𝘰𝘯: 𝘎𝘶𝘳𝘨𝘢𝘰𝘯

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𝘌𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦: 0-3 𝘺𝘦𝘢𝘳𝘴 𝘰𝘧 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 

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𝘐𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘊𝘳𝘪𝘵𝘦𝘳𝘪𝘢:

𝘞𝘪𝘭𝘭𝘪𝘯𝘨𝘯𝘦𝘴𝘴 𝘵𝘰 𝘸𝘰𝘳𝘬 5 𝘥𝘢𝘺𝘴 𝘢 𝘸𝘦𝘦𝘬

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  • Ensure products are configured properly to meet the necessary security, supportability, and performance requirements.
    Experience with developing frameworks and utility services including logging/monitoring

    Leadership Skills:
    o    Lead the team on Strategic BI and Big Data Governance.
    o    Excellent organization skills, attention to detail
    o    Demonstrated sense of responsibility and capability to deliver quickly
    o    Ability to build strong relationships in a multi-cultural environment across all levels within IT
    o    Promotes continuous process improvement especially in code quality, testability & reliability
    o    Exceptional strategic analysis, problem solving, issue resolution and decision making skills
    o    Excited about rapid changes in the market/domain and being flexible to adopt newer technologies and methods.

    Education:
o Bachelor’s/University degree or equivalent experience, potentially Masters degree.
Read more
Turing
at Turing
1 recruiter
Misbah Munir
Posted by Misbah Munir
Remote only
5 - 10 yrs
₹10L - ₹20L / yr
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Decision trees
skill iconDeep Learning
+5 more

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

  • Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
  • Executives from Google, Facebook, Square, Amazon, and Twitter
  • Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
  • Cyan Banister
  • Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:


Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.


About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 


Responsibilities:

  • Enhance our existing machine learning systems using your core coding skills and ML knowledge.
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
  • Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
  • Design features and builds large scale recommendation systems to improve targeting and engagement.
  • Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

 

 

Minimum Requirements:

 

  • BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
  • Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
  • Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
  • 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
  • Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
  • Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
  • Good understanding of mathematical foundations of machine learning algorithms.
  • Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

 

Other Nice-to-have Requirements:

 

  • First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
  • Strong performance in Kaggle competitions.
  • 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
  • Strong communication skills.
  • Experienced in leading large-scale multi-engineering projects.
  • Flexible, and a positive team player with outstanding interpersonal skills.
Read more
Alma Connect
at Alma Connect
1 recruiter
Swapnil Khandelwal
Posted by Swapnil Khandelwal
NCR (Delhi | Gurgaon | Noida)
0 - 2 yrs
₹6L - ₹8L / yr
Project Management
Quality control
JIRA
Analytics
skill iconGoogle Analytics
We are looking for someone with high expertise in rails with knowledge of other domains. The ideal candidate should be a smart learner and should know how to learn
Read more
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