Blue Machines AI - Senior Manager, B2B Brand Strategy & Communications

Blue Machines AI

Enterprise Voice AI Orchestration Platform, Made in India; For the World

Who we are

Blue Machines AI is an enterprise-grade Voice AI platform for deploying reliable, compliant, low-latency, multilingual voice agents at scale. We focus on one thing: making Voice AI truly production-ready for high-stakes enterprise workflows, not just demos.

Our platform orchestrates speech-to-text, text-to-speech, and a coordinated council of large language models, backed by carrier-grade infrastructure. We pair the platform with Forward Deployment Engineers to help enterprises go live in days, not months, and operate confidently at scale.

Vision

As work evolves into a blend of human talent and AI agents, Blue Machines AI is building the trust layer enterprises will rely on. Our goal is to make Voice AI as dependable as any critical enterprise system: capable, responsible, and always in service of human primacy.

Recent Media / Press Highlights

• https://entrackr.com/snippets/apnaco-expands-into-voice-ai-with-bluemachinesai-sees-fast-enterprise-ai-adoption-10561621
• https://economictimes.indiatimes.com/tech/artificial-intelligence/blue-machines-ai-sets-new-benchmark-by-engaging-in-unscripted-hour-long-debate-on-national-tv/articleshow/126670000.cms?from=mdr
• https://www.linkedin.com/posts/rajshamani_rajshamani-figuringout-activity-7417548590048411648-IWeW?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFiSL0BHxWVpt9ZymoM6AaT3gWTQNfVbGs
• https://www.linkedin.com/posts/ragini-das-95245257_some-tech-moments-matter-not-because-they-activity-7416708162684108800-qiKD?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFiSL0BHxWVpt9ZymoM6AaT3gWTQNfVbGs

Website : https://bluemachines.ai/

Requirements:
Senior Manager, B2B Brand Strategy & Communications

Location: Bengaluru, India (In-Office)
Experience: 6 to 8 years
Department: Brand & Marketing

Job Summary

As the Senior Manager, B2B Brand Strategy & Communications at Blue Machines AI, you will build enterprise trust and category mindshare. You will position Blue Machines as reliable, innovation-first, and high-quality. You will own the end-to-end content and distribution engine across documentaries, client case studies, industry reports, thought leadership, and founder communications. This role is accountable for brand search lift, inbound quality, and consistent demand generation through narrative compounding.

Key Responsibilities

Brand Strategy and Category Positioning

• Define and evolve Blue Machines’ enterprise brand narrative: reliability, quality, and innovation leadership.
• Build a clear positioning architecture (category POV, differentiators, proof points, use cases, value pillars).
• Ensure consistent storytelling across every external touchpoint (site, decks, reports, social, PR, events).

Content and Distribution Engine

• Build and run the end-to-end content engine: ideation, research, production, approvals, packaging, distribution, and measurement.
• Create a content calendar mapped to GTM priorities, enterprise buyer pain points, and category moments.
• Establish repeatable systems for quality, speed, and consistency (briefs, templates, review loops).

Documentaries and Client Proof

• Lead production of premium client stories: case studies, mini-documentaries, implementation stories, and results narratives.
• Partner with Sales, CS, and Product to identify high-signal customers and extract credible proof.
• Own story structure, messaging, creative direction, and distribution plan for each asset.

Thought Leadership and Industry Reports

• Produce high-signal industry reports that shape the Voice AI conversation (benchmarks, adoption trends, buyer insights).
• Turn internal data and market signals into credible, referenceable assets.
• Build a consistent thought leadership cadence across LinkedIn, long-form, and earned channels.

Founder Voice and Executive Communications

• Turn leadership insights into category-defining narratives, founder posts, keynotes, and opinion pieces.
• Build the founder communications cadence and editorial system.
• Create narrative compounding where each leadership message reinforces brand trust over time.

Community and Ecosystem

• Build a community of Voice AI evangelists: practitioners, builders, operators, and enterprise champions.
• Develop comms loops with partners, customers, and industry voices to expand credibility and reach.
• Support selective PR and event moments with strong messaging and story packaging.

Measurement and Optimization

• Track outcomes: brand search lift, inbound quality, engagement depth, and content contribution to demand.
• Build dashboards and feedback loops (channel performance, content resonance, inbound signals, attribution proxies).
• Run quarterly retros and continuously improve the engine based on signal, not vanity metrics.

Key Result Areas (KRAs)

1) Enterprise Trust and Premium Brand Perception

• Improve perceived brand reliability and quality across all public touchpoints.
• Increase adoption of proof-led storytelling (customer outcomes, credibility markers, clear claims).

2) Brand Mindshare and Search Lift

• Increase branded search and improve visibility across priority Voice AI topics.
• Improve share of voice through consistent, high-quality publishing and distribution.

3) Inbound Quality and Demand Contribution

• Improve inbound lead quality via sharper positioning, stronger proof, and high-intent assets.
• Support consistent demand generation through campaigns, landing narratives, and conversion-ready content.

4) High-Signal Content Output

• Ship a steady pipeline of premium assets (case studies, documentaries, reports, founder narratives).
• Maintain a high editorial bar with clear briefs, tight storytelling, and strong packaging.

5) Narrative Compounding and Founder Voice

• Establish a repeatable founder communications system with consistent cadence and tone.
• Build a coherent category narrative over time where every piece strengthens the next.

6) Distribution Engine Performance

• Improve distribution efficiency across LinkedIn, web, email, partners, and communities.
• Increase content shelf-life through repurposing systems (clips, quotes, takeaways, threads).

Requirements

Experience

• 5 to 8 years in B2B brand strategy, communications, content marketing, or category marketing (tech/SaaS preferred).
• Proven track record of building brand credibility and driving measurable business impact (search lift, inbound quality, demand contribution).
• Experience creating executive/founder communications and high-quality customer proof assets.

Education

• Bachelor’s degree in Marketing, Communications, Journalism, Business, or related field (or equivalent experience).

Skills

• Strong positioning and messaging: ability to simplify complex products into compelling narratives.
• Editorial leadership: briefs, storytelling, quality control, and production management.
• Distribution-first mindset with comfort in measurement and optimization.
• Strong stakeholder management with Sales, Product, Leadership, and external partners.
• High craft bar for premium, enterprise-ready comms and content.

What We Offer

• Full ownership of brand strategy and communications at a high-growth enterprise AI company.
• Direct collaboration with senior leadership on category-defining narratives.
• Opportunity to build a content and distribution engine that drives measurable impact.
• Competitive compensation aligned with market benchmarks.
• High-ownership environment with visible outcomes.