Manager - Business Development (B2B SaaS, ERP, Manufacturing)

JOB LOCATION : India (Remote/Hybrid | Travel as required) EXPERIENCE : 5–8 Years

ROLE TYPE : Individual Contributors

REPORTING TO: Director of Sales

WORK TIMINGS : 6 PM to 2 AM IST

Responsibilities:

● Proactively identify and hunt for new business opportunities in the US market through inteligent prospecting across email, LinkedIn, cals, referrals, and other modern outreach channels.

● Research target accounts and inbound leads using AI-powered tools, market signals, and business data to identify pain points, opportunities, and decision-makers.

● Craft highly personalized and thoughtful outreach messages that resonate with prospects and initiate high-quality conversations.

● Conduct discovery cals to deeply understand client chalenges and tailor offerings accordingly.

● Build and maintain a healthy pipeline of qualified opportunities with weekly and monthly metrics.

● Own the sales process from initial contact to deal closure, working closely with pre-sales and delivery teams for solutioning.

● Stay updated with industry trends, buyer behavior, and emerging technologies to steer inteligent conversations.

● Maintain CRM hygiene, regularly update outreach activity and pipeline stages, and report on progress.

● Travel occasionaly to meet clients, attend events or conferences (mainly in the US). 

Must-Have Skills :

● 6–10 years of proven experience in B2B technology services sales—preferably in enterprise application development, custom software, or digital transformation.

● Prior experience in seling to US-based clients from India is a must.

● Strong consultative sales skils with the ability to navigate complex enterprise environments and influence senior decision-makers.

● Tech-savvy with hands-on experience using tools like LinkedIn Sales Navigator, Apolo/ZoomInfo, HubSpot/CRM, AI email assistants, and sales automation platforms.

● Highly inteligent with excelent communication skils, strategic thinking, and an ability to ask the right questions.

● Self-driven and outcome-oriented with a strong sense of ownership.

● Wilingness to travel when required for on-site client meetings or trade show

Good to Have Skills:

● Exposure to key industries like Manufacturing, Healthcare, or BFSI.

● Familiarity with modern sales enablement tools and AI-driven prospecting platforms.

● Prior experience working in a startup or fast-growth environment.

Company Overview

A well-funded women-centric healthtech start-up backed by India’s top VC - https://www.business-standard.com/article/companies/fireside-ventures-announces-closing-of-fund-ii-investment-in-gynoveda-119112000033_1.html">Fireside Ventures.

Work Description: 

• Achieve company sales targets using paid marketing channels
• Google : Search, YouTube, Adwords, GDN, Affiliate
• Social : Facebook, Instagram
• Marketplace : Amazon, Flipkart, healthcare and women platforms
• Obsessive  focus on on-page conversion, CPM, CPC, cost of acquisition and ROAS
• Lead video content marketing using creatives, audiences, A/B tests
• Build cross-platform FUNNELS to implement retargeting strategies
• Setup customer journeys using marketing automation tools, Email, SMS, WhatsApp 
• Develop marketing campaigns with a strong HOOK to drive eCommerce sales on website
• Sharp focus on hyper-growth yet achieve profitable unit economics
• Accountable for digital marketing from strategy to execution

Candidature requirements: 

• 7+ years of digital marketing experience in performance marketing with digital first brand
• Proven track record in running D2C consumer acquisition funnels across FB, Google, Affiliates 
• Video-content-led online marketing added plus
• Deep expertise in performance marketing especially using remarketing strategies
• Strong analytical mindset with data driven decision making
• Highly digital tools savvy to drive performance
• Passionate to work in entrepreneurial set-ups, comfortable with ambiguity and working in a constantly evolving business environment

Why & Who should consider :

Be the first 20 to join and become a part of the founders' club. We are set to inspire women to take charge of their health and therefore their lives. 

Consider this an opportunity only if you believe in leading the change and make an impact in others lives. Consumer insights is an obsession. 

➢ Manage initial discovery calls with customers leads

➢ Understands Customer’s Business and keeping empathetic approach towards customers

➢ Building Trust and Transparency with Customers

➢ Go-getter attitude to close the lead

➢ Creating and delivering impressive presentation/demo to the customer

➢ Managing follow-up activities to ensure customer engagement

➢ Negotiating contracts

➢ Working on guidelines by senior level peer

➢ Gaining know-how expertise in the ERP Business Applications

➢ Preparing RFP/RFI as per the customers’ need

➢ Continuous efforts to achieve sales quotas

➢ Self upgradation through industry study and research

JD:

- 12 + Yrs of total experience along with knowledge and hands-on experience in MERN (Mongo db, Express js, React js and Node js) stack.

- Experience to unblocking and helping technical teams.

- Experience in application architecture design and development

- Expertise in designing scalable applications.

- Experience in working on deployments, cloud infra and CI/CD.

- Full stack development experience 

- Hands on experience in MERN stack.

1. Work with product managers, product marketing and engineers to produce and maintain world-class documentation, including user guides, integration guides, API developer guides, and platform documentation (tooltips, welcome instructions)

2. Buil and maintain client aids that go beyond traditional documentation, such as online videos, demos, guided tours, and other educational techniques

3. Learn complex concepts, and communicate the information in a way that is engaging and understood by users

4. Act as an editor to ensure consistency in training documentation

Why should you join us?

We at Fieldproxy provide more than just a startup experience. Some of the perks you will be getting include:

1. Competitive Salary

2. Company paid Health Insurance

3. Friendly and supportive work culture

4. Other perks such as free snacks and an informal dress code

Looking for Guest Management Team: (Immediate Joinee Required)

Ideal candidate will be an enthusiast, with a right approach to learn and grow.

Primary KRA:
a) Support & Guidance to our Guests via Calls | Chats | Email
b) Lead Management – CRM (for sale closures)
c) Competition Analysis, New Campaigns & Site updates
d) Data & Trend Analysis
Mandatory skills: strong communication and convincing skills, go-getter.

Job Description:
- Manage proper database of leads pipeline & follow-up for closure
- Manage our Chat Platform: real time chats with guests to resolve their queries & drive conversions
- Mail Lead: Outbound calling to the consumers who have shown interest in our services
- Close tracking of competition offers, our site offers and analytics

What we offer: A great learning experience across different business verticals, Very Strong Mentors with about 10-15Yrs of industry  experience, flexible working hours, family working culture, start-up environment.

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:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

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.