Note: The job is a remote job and is open to candidates in USA. DeepHow is a Physical AI platform for industrial manufacturing, pharmaceuticals, and utilities that helps organizations capture expert know-how and drive verified execution on the front line. The Forward Deployed Manufacturing Consultant will work directly with plant teams to uncover operational inefficiencies and configure DeepHow in real manufacturing environments, driving lasting impact through technology and process improvement.
Responsibilities
- Conduct deep operational assessments at manufacturing sites by observing workflows, interviewing frontline employees, supervisors, trainers, quality leaders, and operations leadership
- Identify operational bottlenecks, waste, process variability, training inefficiencies, and quality risks
- Facilitate structured discovery and process analysis workshops across areas including: operations, engineering, maintenance, and quality
- Develop current-state and future-state workflow maps that support both DeepHow deployment strategy and broader operational improvement initiatives
- Build credibility quickly with both frontline operators and plant leadership teams
- Serve as a trusted advisor on operational effectiveness, workforce enablement, and digital transformation initiatives
- Own end-to-end deployment and configuration of DeepHow within customer environments
- Guide and train customers through the creation of content capture and platform configurations (“teach them how to fish”)
- Help operational experts convert tribal knowledge into structured, scalable training and operational content
- Collaborate closely with customer IT, operational technology, engineering, and training teams during deployment
- Troubleshoot configuration and adoption challenges creatively and efficiently
- Drive frontline adoption and long-term operational engagement with the platform
- Coach customer champions, supervisors, and site leaders on successful rollout and sustainment strategies
- Navigate resistance to process change with empathy, operational credibility, and practical problem-solving
- Help customers integrate DeepHow naturally into existing operational workflows rather than treating it as a separate initiative
- Recognize that successful deployment is as much about behavioral adoption as technical implementation
- Own the customer journey from implementation kick-off through the achievement of measurable operational outcomes
- Establish clear value hypotheses, success metrics, and time-to-value milestones at the beginning of every engagement
- Track and communicate operational outcomes
- Focus on achieving measurable customer impact in weeks, not quarters. Be able to distinguish clearly between “the software is functioning” and “the customer is realizing operational value”
- Build operational business cases that translate manufacturing improvements into measurable ROI for customer stakeholders
- Treat every customer engagement as an opportunity to uncover additional operational value creation opportunities
- Identify adjacent workflows, departments, use cases, and operational challenges where DeepHow can create additional impact
- Surface expansion opportunities organically through operational trust and customer partnership, not transactional sales behavior
- Partner closely with Sales and Customer Success to support account growth initiatives
- Contribute operational credibility during strategic customer conversations and late-stage sales opportunities
- Help customers envision future-state operational capabilities they may not yet realize are achievable
- Act as the voice of the customer internally by translating frontline operational observations into actionable product feedback
- Document operational patterns, emerging use cases, and deployment insights that can improve future implementations
- Collaborate with Product and Engineering teams to shape platform evolution based on real customer feedback and customer driven innovation ideas
- Contribute to the development of repeatable deployment methodologies, operational playbooks, and industry-specific best practices
Skills
- 5+ years of experience in manufacturing operations, industrial engineering, process engineering, operational excellence, manufacturing consulting, Industry 4.0 initiatives, or related operational environments
- Demonstrated ability to analyze complex operational workflows and identify measurable improvement opportunities
- Strong plant-floor presence and the ability to build trust with both frontline workers and operational leadership
- Technical fluency and comfort configuring software platforms, learning new systems quickly, and collaborating effectively with technical teams
- Exceptional communication and facilitation skills across organizational levels
- Strong operational problem-solving instincts and customer-facing consulting capability
- Comfort operating independently in ambiguous, fast-moving startup environments
- Entrepreneurial mindset with strong curiosity and bias toward action
- Willingness to travel approximately 50%+ to customer sites
- Background in industrial engineering, manufacturing systems, operations consulting, continuous improvement, or manufacturing transformation initiatives
- Experience with Lean Manufacturing, Six Sigma, TWI (Training Within Industry), TPM, Kaizen, or similar operational methodologies
- Experience implementing or configuring enterprise operational systems such as: MES, ERP, CMMS, QMS, Connected Worker
- Exposure to workforce transformation, digital operations, operational AI, or smart manufacturing initiatives
- Multilingual capability (Spanish preferred) is a plus given the diversity of manufacturing workforces
Company Overview