Senior Business Development Manager (US Market)
at Technology Industry
ROLES AND RESPONSIBILITIES:
We are seeking a Senior Business Development Manager (BDM) who thrives in a fast-paced, results-driven environment. This individual will lead from the front, actively driving market expansion, securing strategic partnerships, and executing high-impact go-to-market strategies. This role requires someone with hands-on experience in building and managing partnerships, generating high-quality leads, and creating new revenue streams. The Senior BDM will be accountable for achieving growth targets in both existing and new markets and for building a high-performing business development team that delivers tangible results.
KEY RESPONSIBILITIES:
- Market Penetration & Expansion: Identify and target new markets (geographical and adjacent industries) to drive growth. Establish the company’s presence and create actionable plans for market entry, building a strong pipeline of opportunities in drug discovery and development.
- Strategic Partnerships: Lead the end-to-end process of forming partnerships, from identifying potential partners to negotiating and executing contracts. Focus on high-impact partnerships that drive revenue and strategic alignment with product and marketing teams.
- Lead Generation & Opportunity Identification: Actively generate high-quality leads and ensure these opportunities are properly managed through the pipeline. Collaborate with the sales team to ensure that leads are converted into significant deals.
- Execution of Go-to-Market (GTM) Strategies: Take full ownership of implementing GTM strategies for new product launches or market expansion initiatives, driving them through to measurable outcomes (e.g., customer acquisition, product adoption).
- Team Leadership & Development: Build, manage, and coach a results-oriented business development team. Ensure that team members are held accountable to high standards and actively address underperformance to ensure success.
- Sales Enablement & Support: Collaborate closely with the sales team to ensure a strong connection between business development and sales. Provide strategic insights, training, and materials that enhance the sales teams ability to close deals.
- Rapid Adaptability & Decision-Making: Quickly assess market changes or challenges and pivot strategies as necessary. Act decisively to remove roadblocks, resolve issues, and optimize the business development approach to deliver results fast.
IDEAL CANDIDATE:
- Experience: 7-10 years in business development, with a proven record in the pharma, biotech, SaaS, or technology solutions At least 5 years of experience specifically in drug discovery and development is a major plus.
- Proven Track Record: Demonstrated success in driving new business growth, securing partnerships, and penetrating new markets. Must be results-driven and capable of delivering growth against set targets.
- Hands-On Leadership: A player-coach with a track record of leading by example, actively involved in deals and working directly with partners, customers, and internal teams.
- Strong Negotiator & Closer: Ability to drive discussions with C-level executives and key stakeholders from strategic partnership negotiations to final agreement.
- Strategic Thinking & Action-Oriented: Able to think strategically while executing quickly and effectively. Must focus on driving real results, not just planning.
- Accountability & Decision-Making: Must be willing to make tough decisions, quickly address issues, and hold team members accountable for performance.
- Team Building & Performance Management: Experience in building and leading teams that achieve significant business development goals. Ability to coach, guide, and develop talent while maintaining a focus on high performance.
- Global Perspective: Experience working in global markets and navigating cultural nuances to successfully execute geographic expansions.
KEY ATTRIBUTES:
- Action-Oriented & Results-Driven: A hands-on leader who gets things done. Should be highly focused on generating immediate, tangible results.
- Quick Pivoting & Adaptability: Capable of adjusting strategies rapidly based on market dynamics and operational challenges.
- No Tolerance for Mediocrity: Holds the team to high standards and drives a performance culture.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Gurgaon
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two-sided intelligence.
The Company:
Our client was founded in 2017, it is a Series B funded growth-stage egg brand
and Agritech start up, funded by IvyCap Ventures, NabVentures, Avaana Capital,
Rebright Partners and Others. The founders Abhishek Negi, Uttam Kumar, Aditya
Singh are alumni of IIT – Kharagpur.
They are building a brand
of eggs in a $12 Billion egg consumption market which is growing at rapidly at
15% annually. With growing demand for hygienic and branded foods, Eggoz is
striving to build the largest branded egg company and organize the egg sector.
It aims to deliver superior nutrition with sustainable farming, aim at better
income for farmers and strive for 24-hour freshness ‘chicken to plate’, thereby
holistically attempting to solve the current challenges in the industry.
The business model is
asset-light and tech-first where farmers are on boarded to an integrated
platform, which includes poultry feed & nutrition integration using only
herbal ingredients, and bird management technology to improve farmer income.
It is leading and fastest
growing brand of eggs. Its products are available in Omni-channel retail in 5
major metro cities and nearby non-metro towns. In the next phase, Eggoz aspires
to become a household brand. It is looking to scale the brand and platform to
rest of the country and build the largest national brand of eggs. It aims to
build excitement around eggs and build the entire category of eggs and
egg-based products.
You
will enjoy being a part if you
• Are Hungry enough to get
your hands dirty and hustle through.
• Have First principles
approach towards any problem.
• Are Humble to accept
mistakes and work collaboratively to find answers.
• Love being part of a 0 to
1 and 1 to 10 journey.
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The Finance Controller is a
crucial role within the finance department, responsible for overseeing and
managing all aspects of financial operations and reporting for the
organization. This role ensures accuracy, compliance, and efficiency in
financial activities while providing strategic guidance to senior management
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o
Prepareandreviewmonthly,quarterly,andannualfinancialstatements,ensuring
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Consolidatefinancialdatafromvariousdepartmentsorsubsidiaries,ensuringtimely
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Establishandmaintaininternalcontrolprocedurestosafeguardtheorganization's
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Monitorfinancialtransactionsandprocessestoidentifyandmitigateanypotential risks
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Coordinatewithexternalauditorsforannualauditsandreviews. § Cash Flow
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Managecashflowandliquiditytoensuresufficientfundsareavailableforoperational
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Implementcashflowforecastingandanalysistopredictpotentialliquiditychallenges
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Superviseandmanagetheaccountingteam,ensuringaccurateandtimelyrecordingof
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Reviewandapprovefinancialtransactions,invoices,andexpensereports. o
Overseepayrollprocessingandtaxcompliance.
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Collaboratewithseniormanagementtoprovidefinancialinsightsand
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Content Marketing Manager – Job Description
About DataWeave
Powered by AI, DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands by aggregating and analyzing data from the Web at massive scale.
While retailers use DataWeave’s Retail Intelligence product to make smarter pricing, assortment, and promotion decisions to drive profitable growth, consumer brands use DataWeave’s Brand Analytics product to govern their online brand presence, optimize their Share of Voice, and drive improved e-commerce shelf velocity.
DataWeave’s Counterfeit Products Detection Solution was awarded as one of the “Best 50 Innovative Applications of Artificial Intelligence” by NASSCOM in 2018. Also, our competitive intelligence platform won the NASSCOM Emerge 50 Award in 2016.
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Marketing @DataWeave
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Join the team today!
Job Summary
At DataWeave, we are seeking to hire an experienced content marketing manager who can develop and disseminate engaging and high-quality content across diverse media that speaks to a variety of personas in the retail and consumer brand industries. The selected candidate will work with the marketing team and liaise closely with several internal stakeholders at DataWeave to conceptualize and execute on marketing-oriented content on an ongoing basis.
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- Create persona-oriented content for marketing collaterals, brochures, presentations, scripts, at-a-glance docs, etc. that can be used by internal sales teams to have more engaged conversations with prospects.
- Understand and translate the benefits of DataWeave’s product suite, which includes proprietary AI/ML, deep learning, and data science technologies, to a business-focused audience.
- Utilize internal domain expertise and perform secondary research to gather useful information and create content that is innovative and original.
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Deep LearningDataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
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It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
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We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon